Govern Question: Legal and regulatory requirements involving AI are understood, managed, and documented. Ideal Policy Answer: The policy aligns with the point of understanding, managing, and documenting legal and regulatory requirements involving AI through its commitment to compliance with applicable laws, regulations, and industry standards governing AI technologies. This ensures that the organization adheres to legal and regulatory requirements and demonstrates a proactive approach to understanding and managing these requirements. Company Policy Answer: The policy aligns with the point of understanding, managing, and documenting legal and regulatory requirements involving AI through the following statement: "Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance." This indicates that the policy acknowledges the importance of understanding and complying with legal and regulatory requirements related to AI and ensures that staff members are trained in these areas. Comparison Score: 0.8640897870063782 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- ======================================================================================================================================================== Question: The characteristics of trustworthy AI are integrated into organizational policies, processes, procedures, and practices. Ideal Policy Answer: The policy aligns with the point of integrating the characteristics of trustworthy AI into organizational policies, processes, procedures, and practices through several provisions. For example, the policy emphasizes transparency in the design, development, and deployment of AI systems, ensuring that users and stakeholders are informed about the use of AI, its capabilities, and limitations. Additionally, the policy commits to promoting fairness and equity by ensuring that AI technologies do not propagate bias or discrimination based on protected characteristics. The policy also includes mechanisms for oversight, accountability, and addressing unintended consequences, integrating these aspects into the development processes. Furthermore, the policy highlights the importance of continuous evaluation, audits, and human oversight in AI systems to identify and mitigate potential biases, errors, or risks. Overall, these provisions demonstrate how the policy aligns with integrating the characteristics of trustworthy AI into organizational policies, processes, procedures, and practices. Company Policy Answer: The policy aligns with the point that the characteristics of trustworthy AI are integrated into organizational policies, processes, procedures, and practices through several statements. For example, the policy states that a generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. This indicates that the organization recognizes the importance of incorporating different perspectives and expertise to ensure the trustworthiness of AI. Additionally, the policy mentions that generative AI projects will follow documented processes for risk-based decisions on development, deployment, and monitoring, and that staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. These statements demonstrate the organization's commitment to integrating the characteristics of trustworthy AI into its policies, processes, procedures, and practices. Comparison Score: 0.8660805225372314 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- ======================================================================================================================================================== Question: Processes, procedures, and practices are in place to determine the needed level of risk management activities based on the organization's risk tolerance. Ideal Policy Answer: The policy aligns with the point of determining the needed level of risk management activities based on the organization's risk tolerance through its commitment to compliance and review. The policy states that the organization will adhere to all applicable laws, regulations, and industry standards governing AI technologies. This indicates that the organization recognizes the importance of risk management and is willing to comply with the necessary regulations and standards to mitigate risks associated with AI. Company Policy Answer: The policy aligns with the point that processes, procedures, and practices are in place to determine the needed level of risk management activities based on the organization's risk tolerance. Comparison Score: 0.8524506092071533 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 15. An ethics review board will evaluate high -risk use cases not covered by this policy, before approval. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- ======================================================================================================================================================== Question: The risk management process and its outcomes are established through transparent policies, procedures, and other controls based on organizational risk priorities. Ideal Policy Answer: The policy aligns with the point of establishing transparent policies, procedures, and other controls based on organizational risk priorities in the following ways: 1. Periodic Review: The policy states that it will be reviewed periodically to ensure alignment with evolving ethical standards and technological advancements. This demonstrates a commitment to continuously assess and manage risks associated with AI systems. 2. Reporting and Communication: The policy mentions the publication of periodic reports outlining AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. This transparent reporting and communication mechanism helps establish a risk management process that is based on organizational risk priorities. 3. Continuous Evaluation: The policy emphasizes regular evaluations and audits of AI systems to identify and mitigate potential biases, errors, or risks. This demonstrates a proactive approach to risk management and aligns with the establishment of transparent procedures to assess and address risks. Overall, the policy's emphasis on periodic review, reporting and communication, and continuous evaluation aligns with the establishment of transparent policies, procedures, and other controls based on organizational risk priorities. Company Policy Answer: The policy aligns with the point that the risk management process and its outcomes are established through transparent policies, procedures, and other controls based on organizational risk priorities in the following ways: 1. The policy states that generative AI projects will follow documented processes for risk-based decisions on development, deployment, and monitoring (Governance, point 2). This indicates that there are established procedures in place to manage risks in the generative AI projects. 2. The policy emphasizes the importance of transparency and accountability. It states that model details like data sources, training methodology, and model versions will be documented to enable accountability if issues emerge (Transparency & Accountability, point 11). This demonstrates a commitment to transparency in the risk management process. 3. The policy also mentions the establishment of an ethics review board to evaluate high-risk use cases not covered by the policy before approval (Governance, point 15). This indicates that there are controls in place to assess and manage risks associated with high-risk use cases. Overall, these points from the policy show that the risk management process and its outcomes are established through transparent policies, procedures, and other controls based on organizational risk priorities. Comparison Score: 0.8768652677536011 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 15. An ethics review board will evaluate high -risk use cases not covered by this policy, before approval. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- ======================================================================================================================================================== Question: Ongoing monitoring and periodic review of the risk management process and its outcomes are planned and organizational roles and responsibilities clearly defined, including determining the frequency of periodic review. Ideal Policy Answer: The policy aligns with the point of ongoing monitoring and periodic review through the statement that the policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. This indicates that there is a planned process for ongoing monitoring and periodic review of the policy. Company Policy Answer: The policy aligns with the point of ongoing monitoring and periodic review of the risk management process and its outcomes being planned and organizational roles and responsibilities clearly defined. This can be seen in the statement that "Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues" and "Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally." These statements indicate that there will be ongoing monitoring and periodic reviews of the risk management process, and the oversight team will have defined roles and responsibilities in conducting these reviews. Comparison Score: 0.8461120128631592 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 15. An ethics review board will evaluate high -risk use cases not covered by this policy, before approval. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Mechanisms are in place to inventory AI systems and are resourced according to organizational risk priorities. Ideal Policy Answer: The policy does not provide evidence of mechanisms in place to inventory AI systems and resource them according to organizational risk priorities. Company Policy Answer: The policy does not provide evidence of mechanisms in place to inventory AI systems and resource them according to organizational risk priorities. Comparison Score: 0.9999999403953552 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Processes and procedures are in place for decommissioning and phasing out AI systems safely and in a manner that does not increase risks or decrease the organization's trustworthiness. Ideal Policy Answer: The policy does not provide evidence of processes and procedures for decommissioning and phasing out AI systems safely and in a manner that does not increase risks or decrease the organization's trustworthiness. Company Policy Answer: The policy does not provide evidence of processes and procedures for decommissioning and phasing out AI systems safely and in a manner that does not increase risks or decrease the organization's trustworthiness. Comparison Score: 1.0 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Roles and responsibilities and lines of communication related to mapping, measuring, and managing AI risks are documented and are clear to individuals and teams throughout the organization. Ideal Policy Answer: The policy aligns with the point of documenting roles and responsibilities and lines of communication related to mapping, measuring, and managing AI risks. This can be inferred from the statement in the context that "Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes." This suggests that the policy includes clear documentation of roles and responsibilities for managing AI risks and ensuring accountability throughout the organization. Company Policy Answer: The policy aligns with the point of documenting roles and responsibilities and lines of communication related to mapping, measuring, and managing AI risks. This can be seen in the statement that a generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. This indicates that the roles and responsibilities of the team members are clearly defined. Additionally, the policy mentions that staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. This suggests that the lines of communication regarding AI risks are clear to individuals and teams throughout the organization. Comparison Score: 0.8448348045349121 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: The organization's personnel and partners receive AI risk management training to enable them to perform their duties and responsibilities consistent with related policies, procedures, and agreements. Ideal Policy Answer: The policy does not provide evidence of personnel and partners receiving AI risk management training. Company Policy Answer: The policy aligns with the point that the organization's personnel and partners receive AI risk management training to enable them to perform their duties and responsibilities consistent with related policies, procedures, and agreements. This is evident from the statement in the context information that "Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance." This indicates that the organization recognizes the importance of providing training to its personnel and partners to ensure they have the necessary knowledge and skills to manage AI risks effectively. Comparison Score: 0.4416596591472626 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. External Collaboration and Education: a. Industry Collaboration: We will collaborate with industry peers, researchers, and policymakers to share best practices and contribute to the development of ethical AI standards. b. Employee Education: Continuous training and education programs for our employees will emphasize ethical AI principles and practices. 5. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Executive leadership of the organization takes responsibility for decisions about risks associated with AI system development and deployment. Ideal Policy Answer: The policy aligns with the point that executive leadership of the organization takes responsibility for decisions about risks associated with AI system development and deployment in the section on "Accountability and Responsibility." It states that the organization will take responsibility for the outcomes of their AI systems and will integrate mechanisms for oversight, accountability, and addressing unintended consequences into their development processes. This demonstrates that the executive leadership is committed to taking responsibility for the risks associated with AI system development and deployment. Company Policy Answer: The policy aligns with the point that executive leadership of the organization takes responsibility for decisions about risks associated with AI system development and deployment in the following way: The policy states that a generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. This indicates that executive leadership is involved in the oversight and decision-making process regarding the risks associated with AI system development and deployment. Comparison Score: 0.9164174199104309 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- ======================================================================================================================================================== Question: Decision-making related to mapping, measuring, and managing AI risks throughout the lifecycle is informed by a diverse team (e.g., diversity of demographics, disciplines, experience, expertise, and backgrounds). Ideal Policy Answer: The policy aligns with the point of decision-making related to mapping, measuring, and managing AI risks throughout the lifecycle being informed by a diverse team. Company Policy Answer: The policy aligns with the point of decision-making related to mapping, measuring, and managing AI risks throughout the lifecycle being informed by a diverse team. This is evident from the statement in the policy that a generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. This diverse team will be responsible for making risk-based decisions on development, deployment, and monitoring of generative AI projects. Comparison Score: 0.9056031703948975 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Policies and procedures are in place to define and differentiate roles and responsibilities for human-AI configurations and oversight of AI systems. Ideal Policy Answer: The policy aligns with the point of defining and differentiating roles and responsibilities for human-AI configurations and oversight of AI systems in the following statement: "b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision-making processes, to prevent unintended consequences." This statement indicates that there is a recognition of the need for human involvement in overseeing AI systems and ensuring that they are functioning appropriately. Company Policy Answer: The policy aligns with the point that policies and procedures are in place to define and differentiate roles and responsibilities for human-AI configurations and oversight of AI systems in the following statement: "A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics." This indicates that there is a specific team responsible for overseeing the AI systems and ensuring that the roles and responsibilities for human-AI configurations are defined and differentiated. Comparison Score: 0.8303127884864807 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- ======================================================================================================================================================== Question: Organizational policies and practices are in place to foster a critical thinking and safety-first mindset in the design, development, deployment, and uses of AI systems to minimize potential negative impacts. Ideal Policy Answer: The policy aligns with the point of fostering a critical thinking and safety-first mindset in the design, development, deployment, and uses of AI systems to minimize potential negative impacts through the following measures: - Accountability and Responsibility: The policy states that the organization will take responsibility for the outcomes of their AI systems and integrate mechanisms for oversight, accountability, and addressing unintended consequences into their development processes. - Continuous Evaluation: The policy mentions that regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. - Human Oversight: The policy emphasizes the incorporation of human supervision and intervention into AI systems, especially in critical decision-making processes, to prevent unintended consequences. These measures demonstrate the organization's commitment to critical thinking and prioritizing safety in the design, development, deployment, and uses of AI systems to minimize potential negative impacts. Company Policy Answer: The policy aligns with the point of fostering a critical thinking and safety-first mindset in the design, development, deployment, and uses of AI systems to minimize potential negative impacts through several statements. For example, the policy states that a generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics (Governance statement). It also mentions that generative AI projects will follow documented processes for risk-based decisions on development, deployment, and monitoring (Governance statement). Additionally, staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance (Governance statement). These statements demonstrate the policy's commitment to fostering critical thinking and a safety-first mindset in the AI system's lifecycle. Comparison Score: 0.8966376185417175 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Organizational teams document the risks and potential impacts of the AI technology they design, develop, deploy, evaluate, and use, and they communicate about the impacts more broadly. Ideal Policy Answer: The policy aligns with the point of documenting risks and potential impacts of AI technology in the following section: "3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks." This indicates that the organization will actively assess and document the risks and potential impacts of the AI technology they develop and deploy. Company Policy Answer: The policy aligns with the point mentioned as it states that risks assessments will be conducted and documented for each intended use case of generative AI. This indicates that the organizational teams involved in the design, development, deployment, evaluation, and use of generative AI will document the risks and potential impacts of the technology. Additionally, the policy emphasizes the need for transparency and accountability, indicating that model details, such as data sources and training methodology, will be documented to enable accountability if issues arise. This further supports the evidence that the policy aligns with the point mentioned. Comparison Score: 0.9102127552032471 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Organizational practices are in place to enable AI testing, identification of incidents, and information sharing. Ideal Policy Answer: The policy aligns with the point of enabling AI testing, identification of incidents, and information sharing through the commitment to continuous evaluation and audits of AI systems. This practice ensures that potential biases, errors, or risks are identified and mitigated. Additionally, the integration of mechanisms for oversight, accountability, and addressing unintended consequences into the development processes demonstrates the organization's commitment to identifying and addressing incidents related to AI systems. Company Policy Answer: The policy aligns with the point of enabling AI testing, identification of incidents, and information sharing through the establishment of processes to continually monitor risks after deployment and controls to address emerging issues. This ensures that organizational practices are in place to identify incidents and share information related to the generative AI systems. Comparison Score: 0.9186532497406006 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- ======================================================================================================================================================== Question: Organizational policies and practices are in place to collect, consider, prioritize, and integrate feedback from those external to the team that developed or deployed the AI system regarding the potential individual and societal impacts related to AI risks. Ideal Policy Answer: The policy does not provide evidence of aligning with the point mentioned. Company Policy Answer: The policy aligns with the point mentioned as evidence in the following statement: "Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time." This indicates that the policy recognizes the importance of collecting feedback from external sources and integrating it into the development and deployment of generative AI systems. Comparison Score: 0.3554171621799469 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. External Collaboration and Education: a. Industry Collaboration: We will collaborate with industry peers, researchers, and policymakers to share best practices and contribute to the development of ethical AI standards. b. Employee Education: Continuous training and education programs for our employees will emphasize ethical AI principles and practices. 5. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Mechanisms are established to enable the team that developed or deployed AI systems to regularly incorporate adjudicated feedback from relevant AI actors into system design and implementation. Ideal Policy Answer: The policy aligns with the point of regularly incorporating adjudicated feedback from relevant AI actors into system design and implementation through the commitment to stakeholder engagement. The policy states that Badguys will maintain open channels for dialogue with stakeholders, including users, customers, and the public, to address concerns and gather feedback. This indicates that the team that developed or deployed AI systems will have mechanisms in place to receive feedback from relevant AI actors and incorporate it into the design and implementation of the systems. Company Policy Answer: The policy aligns with the point of regularly incorporating adjudicated feedback from relevant AI actors into system design and implementation through the establishment of feedback channels. These feedback channels allow users and affected groups to report issues, which can then be used to improve the generative AI models over time. This mechanism ensures that the team responsible for developing or deploying AI systems can receive feedback from relevant AI actors and incorporate it into the design and implementation process. Comparison Score: 0.8857663869857788 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- ======================================================================================================================================================== Question: Policies and procedures are in place that address AI risks associated with third-party entities, including risks of infringement of a third-party's intellectual property or other rights. Ideal Policy Answer: The policy does not provide evidence of addressing AI risks associated with third-party entities, including risks of infringement of a third-party's intellectual property or other rights. Company Policy Answer: The policy does not provide evidence of addressing AI risks associated with third-party entities, including risks of infringement of a third-party's intellectual property or other rights. Comparison Score: 1.0 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. External Collaboration and Education: a. Industry Collaboration: We will collaborate with industry peers, researchers, and policymakers to share best practices and contribute to the development of ethical AI standards. b. Employee Education: Continuous training and education programs for our employees will emphasize ethical AI principles and practices. 5. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Contingency processes are in place to handle failures or incidents in third-party data or AI systems deemed to be high-risk. Ideal Policy Answer: The policy does not provide evidence of contingency processes specifically for handling failures or incidents in third-party data or AI systems deemed to be high-risk. Company Policy Answer: The policy does not provide evidence of contingency processes specifically for handling failures or incidents in third-party data or AI systems deemed to be high-risk. Comparison Score: 0.9999998807907104 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 15. An ethics review board will evaluate high -risk use cases not covered by this policy, before approval. ----- ======================================================================================================================================================== Manage Question: Fairness and bias - as identified in the MAP function - are evaluated and results are documented. Ideal Policy Answer: The policy aligns with the point of fairness and bias evaluation and documentation in the following section: "AI Development and Deployment." This section states that regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. This demonstrates a commitment to evaluating fairness and bias in the AI systems and documenting the results. Company Policy Answer: The policy aligns with the point of evaluating fairness and bias by stating that "Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case." This indicates that the policy includes the evaluation of fairness and bias as part of the risk assessment process, and the results of this evaluation are documented. Comparison Score: 0.7863028645515442 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 15. An ethics review board will evaluate high -risk use cases not covered by this policy, before approval. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- ======================================================================================================================================================== Question: Environmental impact and sustainability of AI model training and management activities - as identified in the MAP function - are assessed and documented. Ideal Policy Answer: The policy does not provide evidence of assessing and documenting the environmental impact and sustainability of AI model training and management activities. Company Policy Answer: The policy does not provide evidence of assessing and documenting the environmental impact and sustainability of AI model training and management activities. Comparison Score: 0.9999998211860657 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Effectiveness of the employed TEVV metrics and processes in the MEASURE function are evaluated and documented. Ideal Policy Answer: The policy does not provide evidence of aligning with the point regarding the evaluation and documentation of the effectiveness of the employed TEVV metrics and processes in the MEASURE function. The context information does not mention TEVV metrics or the MEASURE function. Company Policy Answer: The policy aligns with the effectiveness of the employed TEVV metrics and processes in the MEASURE function being evaluated and documented in the following statement: "Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment." This indicates that the policy includes a requirement for testing and evaluation of the trustworthiness characteristics of generative models, which aligns with evaluating the effectiveness of TEVV metrics and processes in the MEASURE function. Comparison Score: 0.5040384531021118 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. External Collaboration and Education: a. Industry Collaboration: We will collaborate with industry peers, researchers, and policymakers to share best practices and contribute to the development of ethical AI standards. b. Employee Education: Continuous training and education programs for our employees will emphasize ethical AI principles and practices. 5. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 15. An ethics review board will evaluate high -risk use cases not covered by this policy, before approval. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Approaches, personnel, and documentation are in place to regularly identify and track existing, unanticipated, and emergent AI risks based on factors such as intended and actual performance in deployed contexts. Ideal Policy Answer: The policy aligns with the point of regularly identifying and tracking AI risks through the commitment to continuous evaluation and audits of AI systems. This ensures that potential biases, errors, or risks are identified and mitigated. Additionally, the policy emphasizes the integration of human oversight into AI systems, especially in critical decision-making processes, to prevent unintended consequences. These approaches and mechanisms demonstrate the commitment to regularly identifying and tracking existing, unanticipated, and emergent AI risks. Company Policy Answer: The policy aligns with the mentioned point in the following statement: "Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues." Comparison Score: 0.6779478192329407 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Risk tracking approaches are considered for settings where AI risks are difficult to assess using currently available measurement techniques or where metrics are not yet available. Ideal Policy Answer: The policy does not provide evidence of aligning with the point mentioned. Company Policy Answer: The policy aligns with the point of considering risk tracking approaches in settings where AI risks are difficult to assess using currently available measurement techniques or where metrics are not yet available. This can be seen in the statement that "Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues." This indicates that the policy recognizes the need for ongoing monitoring and tracking of risks, especially in cases where traditional measurement techniques may not be sufficient. Comparison Score: 0.37388932704925537 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 15. An ethics review board will evaluate high -risk use cases not covered by this policy, before approval. ----- ======================================================================================================================================================== Question: Feedback processes for end users and impacted communities to report problems and appeal system outcomes are established and integrated into AI system evaluation metrics. Ideal Policy Answer: The policy does not provide evidence of establishing feedback processes for end users and impacted communities to report problems and appeal system outcomes. Company Policy Answer: The policy aligns with the point of establishing feedback channels to allow reporting issues by users and affected groups. This ensures that end users and impacted communities have a process to report problems and appeal system outcomes. By integrating these feedback processes into AI system evaluation metrics, the policy promotes transparency, accountability, and continuous improvement of the generative AI systems. Comparison Score: 0.5081354975700378 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Measurement approaches for identifying AI risks are connected to deployment context(s) and informed through consultation with domain experts and other end users. Approaches are documented. Ideal Policy Answer: The policy does not provide evidence of aligning with the point mentioned. Company Policy Answer: The policy does not provide evidence of aligning with the point mentioned. Comparison Score: 0.9999999403953552 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Measurement results regarding AI system trustworthiness in deployment context(s) and across the AI lifecycle are informed by input from domain experts and relevant AI actors to validate whether the system is performing consistently as intended. Results are documented. Ideal Policy Answer: The policy does not provide evidence of aligning with the point mentioned. Company Policy Answer: The policy aligns with the point mentioned as it states that generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. It also mentions that testing sets will cover a broad, representative set of use cases and that model performance will be tracked over time. These measures ensure that measurement results regarding AI system trustworthiness in deployment context(s) are obtained. Additionally, the policy emphasizes the establishment of a generative AI oversight team comprising diverse disciplines, including domain experts, who will be responsible for reviewing the models at major milestones before deployment. This involvement of domain experts and relevant AI actors validates whether the system is performing consistently as intended and ensures that the results are documented. Comparison Score: 0.24009115993976593 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Measurable performance improvements or declines based on consultations with relevant AI actors, including affected communities, and field data about context-relevant risks and trustworthiness characteristics are identified and documented. Ideal Policy Answer: The policy does not provide evidence of aligning with the point mentioned. Company Policy Answer: The policy aligns with the point of identifying and documenting measurable performance improvements or declines based on consultations with relevant AI actors, including affected communities, and field data about context-relevant risks and trustworthiness characteristics. Comparison Score: 0.40258845686912537 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: A determination is made as to whether the AI system achieves its intended purposes and stated objectives and whether its development or deployment should proceed. Ideal Policy Answer: The policy aligns with the point of determining whether the AI system achieves its intended purposes and stated objectives and whether its development or deployment should proceed through the implementation of continuous evaluation and regular audits of AI systems. This ensures that potential biases, errors, or risks are identified and mitigated, allowing for a thorough assessment of the system's performance and alignment with its intended purposes and objectives. Company Policy Answer: The policy aligns with the point that a determination is made as to whether the AI system achieves its intended purposes and stated objectives and whether its development or deployment should proceed. This can be inferred from the statement in the policy that "Generative AI projects will follow documented processes for risk-based decisions on development, deployment, and monitoring" (Governance, Policy Statements). This indicates that there is a process in place to assess whether the AI system is achieving its intended purposes and objectives before deciding on its development or deployment. Comparison Score: 0.854215145111084 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Treatment of documented AI risks is prioritized based on impact, likelihood, and available resources or methods. Ideal Policy Answer: The policy aligns with the point of prioritizing the treatment of documented AI risks based on impact, likelihood, and available resources or methods in the following way: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. This indicates that the policy recognizes the importance of assessing the impact and likelihood of AI risks and taking appropriate measures to address them. Additionally, the policy mentions the integration of mechanisms for oversight, accountability, and addressing unintended consequences into the development processes, which further demonstrates a prioritization of treating AI risks based on available resources or methods. Company Policy Answer: The policy aligns with the point "Treatment of documented AI risks is prioritized based on impact, likelihood, and available resources or methods" in the following statement: "Risk prioritization decisions will balance beneficial use cases and public access with responsible controls." This indicates that the policy considers the impact and likelihood of AI risks and takes into account available resources or methods when making decisions on risk treatment. Comparison Score: 0.9378008842468262 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 15. An ethics review board will evaluate high -risk use cases not covered by this policy, before approval. ----- ======================================================================================================================================================== Question: Responses to the AI risks deemed high priority, as identified by the MAP function, are developed, planned, and documented. Risk response options can include mitigating, transferring, avoiding, or accepting. Ideal Policy Answer: The policy does not provide evidence of aligning with the point mentioned. The context information does not mention any specific response options for AI risks or the documentation of such responses. Company Policy Answer: The policy aligns with the point "Responses to the AI risks deemed high priority, as identified by the MAP function, are developed, planned, and documented" in the following way: The policy states that generative AI projects will follow documented processes for risk-based decisions on development, deployment, and monitoring. This indicates that the policy includes a systematic approach to identifying and prioritizing AI risks, and developing appropriate responses to those risks. The policy also emphasizes the establishment of processes to continually monitor risks after deployment and controls to address emerging issues, which further supports the idea of developing and planning risk responses. Comparison Score: 0.46977484226226807 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Negative residual risks (defined as the sum of all unmitigated risks) to both downstream acquirers of AI systems and end users are documented. Ideal Policy Answer: The policy does not provide evidence of aligning with the point of documenting negative residual risks to both downstream acquirers of AI systems and end users. The context information does not mention any specific measures or mechanisms for documenting and addressing negative residual risks. Company Policy Answer: The policy aligns with the point of documenting negative residual risks to both downstream acquirers of AI systems and end users in the following statement: "6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case." This indicates that the policy requires the documentation of risks associated with AI systems, including those that may impact downstream acquirers and end users. Comparison Score: 0.660423994064331 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 15. An ethics review board will evaluate high -risk use cases not covered by this policy, before approval. ----- ======================================================================================================================================================== Question: Resources required to manage AI risks are taken into account - along with viable non-AI alternative systems, approaches, or methods - to reduce the magnitude or likelihood of potential impacts. Ideal Policy Answer: The policy does not provide evidence of taking into account viable non-AI alternative systems, approaches, or methods to reduce the magnitude or likelihood of potential impacts. Company Policy Answer: The policy aligns with the point that resources required to manage AI risks are taken into account to reduce the magnitude or likelihood of potential impacts. This can be seen in the statement that generative AI projects will follow documented processes for risk-based decisions on development, deployment, and monitoring. By having these processes in place, the policy ensures that the necessary resources are allocated to manage AI risks effectively. Additionally, the policy emphasizes the need for staff to receive RMF and generative AI risk training, indicating that the organization is investing resources in educating employees on AI risks and mitigation strategies. Comparison Score: 0.45306816697120667 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Mechanisms are in place and applied to sustain the value of deployed AI systems. Ideal Policy Answer: The policy aligns with the point of sustaining the value of deployed AI systems through the implementation of continuous evaluation and regular audits of AI systems. This ensures that potential biases, errors, or risks are identified and mitigated, thereby maintaining the value and effectiveness of the deployed AI systems. Additionally, the policy emphasizes the integration of human oversight and intervention in critical decision-making processes, which further supports the sustained value of the AI systems by preventing unintended consequences. Company Policy Answer: The policy aligns with the point of sustaining the value of deployed AI systems through the establishment of processes to continually monitor risks after deployment and the implementation of controls to address emerging issues. This ensures that mechanisms are in place and applied to sustain the value of the deployed AI systems over time. Comparison Score: 0.9108686447143555 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Procedures are followed to respond to and recover from a previously unknown risk when it is identified. Ideal Policy Answer: The policy does not provide evidence of procedures being followed to respond to and recover from a previously unknown risk when it is identified. Company Policy Answer: The policy does not provide evidence of procedures being followed to respond to and recover from a previously unknown risk when it is identified. Comparison Score: 1.0 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 15. An ethics review board will evaluate high -risk use cases not covered by this policy, before approval. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- ======================================================================================================================================================== Question: Mechanisms are in place and applied, and responsibilities are assigned and understood, to supersede, disengage, or deactivate AI systems that demonstrate performance or outcomes inconsistent with intended use. Ideal Policy Answer: The policy aligns with the point of having mechanisms in place to supersede, disengage, or deactivate AI systems that demonstrate performance or outcomes inconsistent with intended use. Company Policy Answer: The policy aligns with the point mentioned as it states that the Generative AI Oversight Team is responsible for administering the policy and establishing necessary procedures, guidelines, and updates to align with regulations. This indicates that mechanisms are in place to supervise and monitor the performance and outcomes of AI systems. Additionally, the policy mentions that reviews by the oversight team will be required before deploying generative models, indicating that responsibilities are assigned and understood to disengage or deactivate AI systems that demonstrate inconsistent performance or outcomes. Comparison Score: 0.7332794666290283 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- ======================================================================================================================================================== Question: AI risks and benefits from third-party resources are regularly monitored, and risk controls are applied and documented. Ideal Policy Answer: The policy aligns with the point of regularly monitoring AI risks and benefits from third-party resources through the commitment to continuous evaluation and periodic review of AI systems. This includes conducting regular evaluations and audits to identify and mitigate potential biases, errors, or risks, as well as reviewing the policy periodically to ensure alignment with evolving ethical standards and technological advancements. These practices demonstrate a proactive approach to monitoring and addressing risks associated with third-party resources in AI development and deployment. Company Policy Answer: The policy aligns with the point that AI risks and benefits from third-party resources are regularly monitored, and risk controls are applied and documented through the establishment of processes to continually monitor risks after deployment and the requirement for reviews by the oversight team at major milestones before deploying generative models internally or externally. Comparison Score: 0.9049125909805298 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Pre-trained models which are used for development are monitored as part of AI system regular monitoring and maintenance. Ideal Policy Answer: The policy aligns with the point of monitoring pre-trained models as part of regular monitoring and maintenance of AI systems. Company Policy Answer: The policy does not provide evidence of aligning with the point that pre-trained models used for development are monitored as part of AI system regular monitoring and maintenance. Comparison Score: 0.6522454619407654 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Post-deployment AI system monitoring plans are implemented, including mechanisms for capturing and evaluating input from users and other relevant AI actors, appeal and override, decommissioning, incident response, recovery, and change management. Ideal Policy Answer: The policy aligns with the point of post-deployment AI system monitoring plans being implemented through the commitment to continuous evaluation and regular audits of AI systems. This ensures that potential biases, errors, or risks are identified and mitigated. Additionally, the policy emphasizes the importance of accountability and responsibility, indicating that mechanisms for oversight, addressing unintended consequences, and change management will be integrated into the development processes. Company Policy Answer: The policy aligns with the point of implementing post-deployment AI system monitoring plans by establishing processes to continually monitor risks after deployment and controls to address emerging issues. This ensures that mechanisms for capturing and evaluating input from users and other relevant AI actors are in place. Additionally, the policy emphasizes the establishment of feedback channels to allow reporting issues by users and affected groups, which contributes to the evaluation and improvement of the AI models over time. Comparison Score: 0.9067810773849487 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Measurable activities for continual improvements are integrated into AI system updates and include regular engagement with interested parties, including relevant AI actors. Ideal Policy Answer: The policy aligns with the point of regular engagement with interested parties, including relevant AI actors, through the mechanism of stakeholder engagement. This is evident from the statement in the context that Badguys will maintain open channels for dialogue with stakeholders, including users, customers, and the public, to address concerns and gather feedback. This engagement with interested parties allows for continual improvements in the AI system updates and ensures that the policy aligns with the point mentioned. Company Policy Answer: The policy aligns with the point of integrating measurable activities for continual improvements into AI system updates and engaging with interested parties. This can be seen in the statement that "Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time." This indicates that the policy includes mechanisms for gathering feedback from interested parties and using that feedback to make improvements to the AI system. Comparison Score: 0.8212162256240845 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. External Collaboration and Education: a. Industry Collaboration: We will collaborate with industry peers, researchers, and policymakers to share best practices and contribute to the development of ethical AI standards. b. Employee Education: Continuous training and education programs for our employees will emphasize ethical AI principles and practices. 5. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Incidents and errors are communicated to relevant AI actors, including affected communities. Processes for tracking, responding to, and recovering from incidents and errors are followed and documented. Ideal Policy Answer: The policy does not provide evidence of aligning with the point mentioned. Company Policy Answer: The policy does not provide evidence of aligning with the point mentioned. Comparison Score: 0.9999999403953552 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Map Question: Fairness and bias - as identified in the MAP function - are evaluated and results are documented. Ideal Policy Answer: The policy aligns with the point of fairness and bias evaluation and documentation in the following section: "AI Development and Deployment." This section states that regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. This demonstrates a commitment to evaluating fairness and bias in the AI systems and documenting the results. Company Policy Answer: The policy aligns with the point of evaluating fairness and bias by stating that "Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case." This indicates that the policy includes the evaluation of fairness and bias as part of the risk assessment process, and the results of this evaluation are documented. Comparison Score: 0.7863028645515442 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 15. An ethics review board will evaluate high -risk use cases not covered by this policy, before approval. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- ======================================================================================================================================================== Question: Environmental impact and sustainability of AI model training and management activities - as identified in the MAP function - are assessed and documented. Ideal Policy Answer: The policy does not provide evidence of assessing and documenting the environmental impact and sustainability of AI model training and management activities. Company Policy Answer: The policy does not provide evidence of assessing and documenting the environmental impact and sustainability of AI model training and management activities. Comparison Score: 0.9999998211860657 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Effectiveness of the employed TEVV metrics and processes in the MEASURE function are evaluated and documented. Ideal Policy Answer: The policy does not provide evidence of aligning with the point regarding the evaluation and documentation of the effectiveness of the employed TEVV metrics and processes in the MEASURE function. The context information does not mention TEVV metrics or the MEASURE function. Company Policy Answer: The policy aligns with the effectiveness of the employed TEVV metrics and processes in the MEASURE function being evaluated and documented in the following statement: "Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment." This indicates that the policy includes a requirement for testing and evaluation of the trustworthiness characteristics of generative models, which aligns with evaluating the effectiveness of TEVV metrics and processes in the MEASURE function. Comparison Score: 0.5040384531021118 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. External Collaboration and Education: a. Industry Collaboration: We will collaborate with industry peers, researchers, and policymakers to share best practices and contribute to the development of ethical AI standards. b. Employee Education: Continuous training and education programs for our employees will emphasize ethical AI principles and practices. 5. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 15. An ethics review board will evaluate high -risk use cases not covered by this policy, before approval. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Approaches, personnel, and documentation are in place to regularly identify and track existing, unanticipated, and emergent AI risks based on factors such as intended and actual performance in deployed contexts. Ideal Policy Answer: The policy aligns with the point of regularly identifying and tracking AI risks through the commitment to continuous evaluation and audits of AI systems. This ensures that potential biases, errors, or risks are identified and mitigated. Additionally, the policy emphasizes the integration of human oversight into AI systems, especially in critical decision-making processes, to prevent unintended consequences. These approaches and mechanisms demonstrate the commitment to regularly identifying and tracking existing, unanticipated, and emergent AI risks. Company Policy Answer: The policy aligns with the mentioned point in the following statement: "Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues." Comparison Score: 0.6779478192329407 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Risk tracking approaches are considered for settings where AI risks are difficult to assess using currently available measurement techniques or where metrics are not yet available. Ideal Policy Answer: The policy does not provide evidence of aligning with the point mentioned. Company Policy Answer: The policy aligns with the point of considering risk tracking approaches in settings where AI risks are difficult to assess using currently available measurement techniques or where metrics are not yet available. This can be seen in the statement that "Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues." This indicates that the policy recognizes the need for ongoing monitoring and tracking of risks, especially in cases where traditional measurement techniques may not be sufficient. Comparison Score: 0.37388932704925537 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 15. An ethics review board will evaluate high -risk use cases not covered by this policy, before approval. ----- ======================================================================================================================================================== Question: Feedback processes for end users and impacted communities to report problems and appeal system outcomes are established and integrated into AI system evaluation metrics. Ideal Policy Answer: The policy does not provide evidence of establishing feedback processes for end users and impacted communities to report problems and appeal system outcomes. Company Policy Answer: The policy aligns with the point of establishing feedback channels to allow reporting issues by users and affected groups. This ensures that end users and impacted communities have a process to report problems and appeal system outcomes. By integrating these feedback processes into AI system evaluation metrics, the policy promotes transparency, accountability, and continuous improvement of the generative AI systems. Comparison Score: 0.5081354975700378 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Measurement approaches for identifying AI risks are connected to deployment context(s) and informed through consultation with domain experts and other end users. Approaches are documented. Ideal Policy Answer: The policy does not provide evidence of aligning with the point mentioned. Company Policy Answer: The policy does not provide evidence of aligning with the point mentioned. Comparison Score: 0.9999999403953552 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Measurement results regarding AI system trustworthiness in deployment context(s) and across the AI lifecycle are informed by input from domain experts and relevant AI actors to validate whether the system is performing consistently as intended. Results are documented. Ideal Policy Answer: The policy does not provide evidence of aligning with the point mentioned. Company Policy Answer: The policy aligns with the point mentioned as it states that generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. It also mentions that testing sets will cover a broad, representative set of use cases and that model performance will be tracked over time. These measures ensure that measurement results regarding AI system trustworthiness in deployment context(s) are obtained. Additionally, the policy emphasizes the establishment of a generative AI oversight team comprising diverse disciplines, including domain experts, who will be responsible for reviewing the models at major milestones before deployment. This involvement of domain experts and relevant AI actors validates whether the system is performing consistently as intended and ensures that the results are documented. Comparison Score: 0.24009115993976593 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Measurable performance improvements or declines based on consultations with relevant AI actors, including affected communities, and field data about context-relevant risks and trustworthiness characteristics are identified and documented. Ideal Policy Answer: The policy does not provide evidence of aligning with the point mentioned. Company Policy Answer: The policy aligns with the point of identifying and documenting measurable performance improvements or declines based on consultations with relevant AI actors, including affected communities, and field data about context-relevant risks and trustworthiness characteristics. Comparison Score: 0.40258845686912537 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: A determination is made as to whether the AI system achieves its intended purposes and stated objectives and whether its development or deployment should proceed. Ideal Policy Answer: The policy aligns with the point of determining whether the AI system achieves its intended purposes and stated objectives and whether its development or deployment should proceed through the implementation of continuous evaluation and regular audits of AI systems. This ensures that potential biases, errors, or risks are identified and mitigated, allowing for a thorough assessment of the system's performance and alignment with its intended purposes and objectives. Company Policy Answer: The policy aligns with the point that a determination is made as to whether the AI system achieves its intended purposes and stated objectives and whether its development or deployment should proceed. This can be inferred from the statement in the policy that "Generative AI projects will follow documented processes for risk-based decisions on development, deployment, and monitoring" (Governance, Policy Statements). This indicates that there is a process in place to assess whether the AI system is achieving its intended purposes and objectives before deciding on its development or deployment. Comparison Score: 0.854215145111084 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Treatment of documented AI risks is prioritized based on impact, likelihood, and available resources or methods. Ideal Policy Answer: The policy aligns with the point of prioritizing the treatment of documented AI risks based on impact, likelihood, and available resources or methods in the following way: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. This indicates that the policy recognizes the importance of assessing the impact and likelihood of AI risks and taking appropriate measures to address them. Additionally, the policy mentions the integration of mechanisms for oversight, accountability, and addressing unintended consequences into the development processes, which further demonstrates a prioritization of treating AI risks based on available resources or methods. Company Policy Answer: The policy aligns with the point "Treatment of documented AI risks is prioritized based on impact, likelihood, and available resources or methods" in the following statement: "Risk prioritization decisions will balance beneficial use cases and public access with responsible controls." This indicates that the policy considers the impact and likelihood of AI risks and takes into account available resources or methods when making decisions on risk treatment. Comparison Score: 0.9378008842468262 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 15. An ethics review board will evaluate high -risk use cases not covered by this policy, before approval. ----- ======================================================================================================================================================== Question: Responses to the AI risks deemed high priority, as identified by the MAP function, are developed, planned, and documented. Risk response options can include mitigating, transferring, avoiding, or accepting. Ideal Policy Answer: The policy does not provide evidence of aligning with the point mentioned. The context information does not mention any specific response options for AI risks or the documentation of such responses. Company Policy Answer: The policy aligns with the point "Responses to the AI risks deemed high priority, as identified by the MAP function, are developed, planned, and documented" in the following way: The policy states that generative AI projects will follow documented processes for risk-based decisions on development, deployment, and monitoring. This indicates that the policy includes a systematic approach to identifying and prioritizing AI risks, and developing appropriate responses to those risks. The policy also emphasizes the establishment of processes to continually monitor risks after deployment and controls to address emerging issues, which further supports the idea of developing and planning risk responses. Comparison Score: 0.46977484226226807 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Negative residual risks (defined as the sum of all unmitigated risks) to both downstream acquirers of AI systems and end users are documented. Ideal Policy Answer: The policy does not provide evidence of aligning with the point of documenting negative residual risks to both downstream acquirers of AI systems and end users. The context information does not mention any specific measures or mechanisms for documenting and addressing negative residual risks. Company Policy Answer: The policy aligns with the point of documenting negative residual risks to both downstream acquirers of AI systems and end users in the following statement: "6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case." This indicates that the policy requires the documentation of risks associated with AI systems, including those that may impact downstream acquirers and end users. Comparison Score: 0.660423994064331 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 15. An ethics review board will evaluate high -risk use cases not covered by this policy, before approval. ----- ======================================================================================================================================================== Question: Resources required to manage AI risks are taken into account - along with viable non-AI alternative systems, approaches, or methods - to reduce the magnitude or likelihood of potential impacts. Ideal Policy Answer: The policy does not provide evidence of taking into account viable non-AI alternative systems, approaches, or methods to reduce the magnitude or likelihood of potential impacts. Company Policy Answer: The policy aligns with the point that resources required to manage AI risks are taken into account to reduce the magnitude or likelihood of potential impacts. This can be seen in the statement that generative AI projects will follow documented processes for risk-based decisions on development, deployment, and monitoring. By having these processes in place, the policy ensures that the necessary resources are allocated to manage AI risks effectively. Additionally, the policy emphasizes the need for staff to receive RMF and generative AI risk training, indicating that the organization is investing resources in educating employees on AI risks and mitigation strategies. Comparison Score: 0.45306816697120667 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Mechanisms are in place and applied to sustain the value of deployed AI systems. Ideal Policy Answer: The policy aligns with the point of sustaining the value of deployed AI systems through the implementation of continuous evaluation and regular audits of AI systems. This ensures that potential biases, errors, or risks are identified and mitigated, thereby maintaining the value and effectiveness of the deployed AI systems. Additionally, the policy emphasizes the integration of human oversight and intervention in critical decision-making processes, which further supports the sustained value of the AI systems by preventing unintended consequences. Company Policy Answer: The policy aligns with the point of sustaining the value of deployed AI systems through the establishment of processes to continually monitor risks after deployment and the implementation of controls to address emerging issues. This ensures that mechanisms are in place and applied to sustain the value of the deployed AI systems over time. Comparison Score: 0.9108686447143555 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Procedures are followed to respond to and recover from a previously unknown risk when it is identified. Ideal Policy Answer: The policy does not provide evidence of procedures being followed to respond to and recover from a previously unknown risk when it is identified. Company Policy Answer: The policy does not provide evidence of procedures being followed to respond to and recover from a previously unknown risk when it is identified. Comparison Score: 1.0 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 15. An ethics review board will evaluate high -risk use cases not covered by this policy, before approval. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- ======================================================================================================================================================== Question: Mechanisms are in place and applied, and responsibilities are assigned and understood, to supersede, disengage, or deactivate AI systems that demonstrate performance or outcomes inconsistent with intended use. Ideal Policy Answer: The policy aligns with the point of having mechanisms in place to supersede, disengage, or deactivate AI systems that demonstrate performance or outcomes inconsistent with intended use. Company Policy Answer: The policy aligns with the point mentioned as it states that the Generative AI Oversight Team is responsible for administering the policy and establishing necessary procedures, guidelines, and updates to align with regulations. This indicates that mechanisms are in place to supervise and monitor the performance and outcomes of AI systems. Additionally, the policy mentions that reviews by the oversight team will be required before deploying generative models, indicating that responsibilities are assigned and understood to disengage or deactivate AI systems that demonstrate inconsistent performance or outcomes. Comparison Score: 0.7332794666290283 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- ======================================================================================================================================================== Question: AI risks and benefits from third-party resources are regularly monitored, and risk controls are applied and documented. Ideal Policy Answer: The policy aligns with the point of regularly monitoring AI risks and benefits from third-party resources through the commitment to continuous evaluation and periodic review of AI systems. This includes conducting regular evaluations and audits to identify and mitigate potential biases, errors, or risks, as well as reviewing the policy periodically to ensure alignment with evolving ethical standards and technological advancements. These practices demonstrate a proactive approach to monitoring and addressing risks associated with third-party resources in AI development and deployment. Company Policy Answer: The policy aligns with the point that AI risks and benefits from third-party resources are regularly monitored, and risk controls are applied and documented through the establishment of processes to continually monitor risks after deployment and the requirement for reviews by the oversight team at major milestones before deploying generative models internally or externally. Comparison Score: 0.9049125909805298 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Pre-trained models which are used for development are monitored as part of AI system regular monitoring and maintenance. Ideal Policy Answer: The policy aligns with the point of monitoring pre-trained models as part of regular monitoring and maintenance of AI systems. Company Policy Answer: The policy does not provide evidence of aligning with the point that pre-trained models used for development are monitored as part of AI system regular monitoring and maintenance. Comparison Score: 0.6522454619407654 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Post-deployment AI system monitoring plans are implemented, including mechanisms for capturing and evaluating input from users and other relevant AI actors, appeal and override, decommissioning, incident response, recovery, and change management. Ideal Policy Answer: The policy aligns with the point of post-deployment AI system monitoring plans being implemented through the commitment to continuous evaluation and regular audits of AI systems. This ensures that potential biases, errors, or risks are identified and mitigated. Additionally, the policy emphasizes the importance of accountability and responsibility, indicating that mechanisms for oversight, addressing unintended consequences, and change management will be integrated into the development processes. Company Policy Answer: The policy aligns with the point of implementing post-deployment AI system monitoring plans by establishing processes to continually monitor risks after deployment and controls to address emerging issues. This ensures that mechanisms for capturing and evaluating input from users and other relevant AI actors are in place. Additionally, the policy emphasizes the establishment of feedback channels to allow reporting issues by users and affected groups, which contributes to the evaluation and improvement of the AI models over time. Comparison Score: 0.9067810773849487 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Measurable activities for continual improvements are integrated into AI system updates and include regular engagement with interested parties, including relevant AI actors. Ideal Policy Answer: The policy aligns with the point of regular engagement with interested parties, including relevant AI actors, through the mechanism of stakeholder engagement. This is evident from the statement in the context that Badguys will maintain open channels for dialogue with stakeholders, including users, customers, and the public, to address concerns and gather feedback. This engagement with interested parties allows for continual improvements in the AI system updates and ensures that the policy aligns with the point mentioned. Company Policy Answer: The policy aligns with the point of integrating measurable activities for continual improvements into AI system updates and engaging with interested parties. This can be seen in the statement that "Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time." This indicates that the policy includes mechanisms for gathering feedback from interested parties and using that feedback to make improvements to the AI system. Comparison Score: 0.8212162256240845 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. External Collaboration and Education: a. Industry Collaboration: We will collaborate with industry peers, researchers, and policymakers to share best practices and contribute to the development of ethical AI standards. b. Employee Education: Continuous training and education programs for our employees will emphasize ethical AI principles and practices. 5. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Incidents and errors are communicated to relevant AI actors, including affected communities. Processes for tracking, responding to, and recovering from incidents and errors are followed and documented. Ideal Policy Answer: The policy does not provide evidence of aligning with the point mentioned. Company Policy Answer: The policy does not provide evidence of aligning with the point mentioned. Comparison Score: 0.9999999403953552 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Measure Question: Fairness and bias - as identified in the MAP function - are evaluated and results are documented. Ideal Policy Answer: The policy aligns with the point of fairness and bias evaluation and documentation in the following section: "AI Development and Deployment." This section states that regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. This demonstrates a commitment to evaluating fairness and bias in the AI systems and documenting the results. Company Policy Answer: The policy aligns with the point of evaluating fairness and bias by stating that "Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case." This indicates that the policy includes the evaluation of fairness and bias as part of the risk assessment process, and the results of this evaluation are documented. Comparison Score: 0.7863028645515442 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 15. An ethics review board will evaluate high -risk use cases not covered by this policy, before approval. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- ======================================================================================================================================================== Question: Environmental impact and sustainability of AI model training and management activities - as identified in the MAP function - are assessed and documented. Ideal Policy Answer: The policy does not provide evidence of assessing and documenting the environmental impact and sustainability of AI model training and management activities. Company Policy Answer: The policy does not provide evidence of assessing and documenting the environmental impact and sustainability of AI model training and management activities. Comparison Score: 0.9999998211860657 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Effectiveness of the employed TEVV metrics and processes in the MEASURE function are evaluated and documented. Ideal Policy Answer: The policy does not provide evidence of aligning with the point regarding the evaluation and documentation of the effectiveness of the employed TEVV metrics and processes in the MEASURE function. The context information does not mention TEVV metrics or the MEASURE function. Company Policy Answer: The policy aligns with the effectiveness of the employed TEVV metrics and processes in the MEASURE function being evaluated and documented in the following statement: "Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment." This indicates that the policy includes a requirement for testing and evaluation of the trustworthiness characteristics of generative models, which aligns with evaluating the effectiveness of TEVV metrics and processes in the MEASURE function. Comparison Score: 0.5040384531021118 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. External Collaboration and Education: a. Industry Collaboration: We will collaborate with industry peers, researchers, and policymakers to share best practices and contribute to the development of ethical AI standards. b. Employee Education: Continuous training and education programs for our employees will emphasize ethical AI principles and practices. 5. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 15. An ethics review board will evaluate high -risk use cases not covered by this policy, before approval. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Approaches, personnel, and documentation are in place to regularly identify and track existing, unanticipated, and emergent AI risks based on factors such as intended and actual performance in deployed contexts. Ideal Policy Answer: The policy aligns with the point of regularly identifying and tracking AI risks through the commitment to continuous evaluation and audits of AI systems. This ensures that potential biases, errors, or risks are identified and mitigated. Additionally, the policy emphasizes the integration of human oversight into AI systems, especially in critical decision-making processes, to prevent unintended consequences. These approaches and mechanisms demonstrate the commitment to regularly identifying and tracking existing, unanticipated, and emergent AI risks. Company Policy Answer: The policy aligns with the mentioned point in the following statement: "Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues." Comparison Score: 0.6779478192329407 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Risk tracking approaches are considered for settings where AI risks are difficult to assess using currently available measurement techniques or where metrics are not yet available. Ideal Policy Answer: The policy does not provide evidence of aligning with the point mentioned. Company Policy Answer: The policy aligns with the point of considering risk tracking approaches in settings where AI risks are difficult to assess using currently available measurement techniques or where metrics are not yet available. This can be seen in the statement that "Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues." This indicates that the policy recognizes the need for ongoing monitoring and tracking of risks, especially in cases where traditional measurement techniques may not be sufficient. Comparison Score: 0.37388932704925537 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 15. An ethics review board will evaluate high -risk use cases not covered by this policy, before approval. ----- ======================================================================================================================================================== Question: Feedback processes for end users and impacted communities to report problems and appeal system outcomes are established and integrated into AI system evaluation metrics. Ideal Policy Answer: The policy does not provide evidence of establishing feedback processes for end users and impacted communities to report problems and appeal system outcomes. Company Policy Answer: The policy aligns with the point of establishing feedback channels to allow reporting issues by users and affected groups. This ensures that end users and impacted communities have a process to report problems and appeal system outcomes. By integrating these feedback processes into AI system evaluation metrics, the policy promotes transparency, accountability, and continuous improvement of the generative AI systems. Comparison Score: 0.5081354975700378 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Measurement approaches for identifying AI risks are connected to deployment context(s) and informed through consultation with domain experts and other end users. Approaches are documented. Ideal Policy Answer: The policy does not provide evidence of aligning with the point mentioned. Company Policy Answer: The policy does not provide evidence of aligning with the point mentioned. Comparison Score: 0.9999999403953552 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Measurement results regarding AI system trustworthiness in deployment context(s) and across the AI lifecycle are informed by input from domain experts and relevant AI actors to validate whether the system is performing consistently as intended. Results are documented. Ideal Policy Answer: The policy does not provide evidence of aligning with the point mentioned. Company Policy Answer: The policy aligns with the point mentioned as it states that generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. It also mentions that testing sets will cover a broad, representative set of use cases and that model performance will be tracked over time. These measures ensure that measurement results regarding AI system trustworthiness in deployment context(s) are obtained. Additionally, the policy emphasizes the establishment of a generative AI oversight team comprising diverse disciplines, including domain experts, who will be responsible for reviewing the models at major milestones before deployment. This involvement of domain experts and relevant AI actors validates whether the system is performing consistently as intended and ensures that the results are documented. Comparison Score: 0.24009115993976593 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Measurable performance improvements or declines based on consultations with relevant AI actors, including affected communities, and field data about context-relevant risks and trustworthiness characteristics are identified and documented. Ideal Policy Answer: The policy does not provide evidence of aligning with the point mentioned. Company Policy Answer: The policy aligns with the point of identifying and documenting measurable performance improvements or declines based on consultations with relevant AI actors, including affected communities, and field data about context-relevant risks and trustworthiness characteristics. Comparison Score: 0.40258845686912537 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: A determination is made as to whether the AI system achieves its intended purposes and stated objectives and whether its development or deployment should proceed. Ideal Policy Answer: The policy aligns with the point of determining whether the AI system achieves its intended purposes and stated objectives and whether its development or deployment should proceed through the implementation of continuous evaluation and regular audits of AI systems. This ensures that potential biases, errors, or risks are identified and mitigated, allowing for a thorough assessment of the system's performance and alignment with its intended purposes and objectives. Company Policy Answer: The policy aligns with the point that a determination is made as to whether the AI system achieves its intended purposes and stated objectives and whether its development or deployment should proceed. This can be inferred from the statement in the policy that "Generative AI projects will follow documented processes for risk-based decisions on development, deployment, and monitoring" (Governance, Policy Statements). This indicates that there is a process in place to assess whether the AI system is achieving its intended purposes and objectives before deciding on its development or deployment. Comparison Score: 0.854215145111084 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Treatment of documented AI risks is prioritized based on impact, likelihood, and available resources or methods. Ideal Policy Answer: The policy aligns with the point of prioritizing the treatment of documented AI risks based on impact, likelihood, and available resources or methods in the following way: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. This indicates that the policy recognizes the importance of assessing the impact and likelihood of AI risks and taking appropriate measures to address them. Additionally, the policy mentions the integration of mechanisms for oversight, accountability, and addressing unintended consequences into the development processes, which further demonstrates a prioritization of treating AI risks based on available resources or methods. Company Policy Answer: The policy aligns with the point "Treatment of documented AI risks is prioritized based on impact, likelihood, and available resources or methods" in the following statement: "Risk prioritization decisions will balance beneficial use cases and public access with responsible controls." This indicates that the policy considers the impact and likelihood of AI risks and takes into account available resources or methods when making decisions on risk treatment. Comparison Score: 0.9378008842468262 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 15. An ethics review board will evaluate high -risk use cases not covered by this policy, before approval. ----- ======================================================================================================================================================== Question: Responses to the AI risks deemed high priority, as identified by the MAP function, are developed, planned, and documented. Risk response options can include mitigating, transferring, avoiding, or accepting. Ideal Policy Answer: The policy does not provide evidence of aligning with the point mentioned. The context information does not mention any specific response options for AI risks or the documentation of such responses. Company Policy Answer: The policy aligns with the point "Responses to the AI risks deemed high priority, as identified by the MAP function, are developed, planned, and documented" in the following way: The policy states that generative AI projects will follow documented processes for risk-based decisions on development, deployment, and monitoring. This indicates that the policy includes a systematic approach to identifying and prioritizing AI risks, and developing appropriate responses to those risks. The policy also emphasizes the establishment of processes to continually monitor risks after deployment and controls to address emerging issues, which further supports the idea of developing and planning risk responses. Comparison Score: 0.46977484226226807 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Negative residual risks (defined as the sum of all unmitigated risks) to both downstream acquirers of AI systems and end users are documented. Ideal Policy Answer: The policy does not provide evidence of aligning with the point of documenting negative residual risks to both downstream acquirers of AI systems and end users. The context information does not mention any specific measures or mechanisms for documenting and addressing negative residual risks. Company Policy Answer: The policy aligns with the point of documenting negative residual risks to both downstream acquirers of AI systems and end users in the following statement: "6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case." This indicates that the policy requires the documentation of risks associated with AI systems, including those that may impact downstream acquirers and end users. Comparison Score: 0.660423994064331 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 15. An ethics review board will evaluate high -risk use cases not covered by this policy, before approval. ----- ======================================================================================================================================================== Question: Resources required to manage AI risks are taken into account - along with viable non-AI alternative systems, approaches, or methods - to reduce the magnitude or likelihood of potential impacts. Ideal Policy Answer: The policy does not provide evidence of taking into account viable non-AI alternative systems, approaches, or methods to reduce the magnitude or likelihood of potential impacts. Company Policy Answer: The policy aligns with the point that resources required to manage AI risks are taken into account to reduce the magnitude or likelihood of potential impacts. This can be seen in the statement that generative AI projects will follow documented processes for risk-based decisions on development, deployment, and monitoring. By having these processes in place, the policy ensures that the necessary resources are allocated to manage AI risks effectively. Additionally, the policy emphasizes the need for staff to receive RMF and generative AI risk training, indicating that the organization is investing resources in educating employees on AI risks and mitigation strategies. Comparison Score: 0.45306816697120667 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Mechanisms are in place and applied to sustain the value of deployed AI systems. Ideal Policy Answer: The policy aligns with the point of sustaining the value of deployed AI systems through the implementation of continuous evaluation and regular audits of AI systems. This ensures that potential biases, errors, or risks are identified and mitigated, thereby maintaining the value and effectiveness of the deployed AI systems. Additionally, the policy emphasizes the integration of human oversight and intervention in critical decision-making processes, which further supports the sustained value of the AI systems by preventing unintended consequences. Company Policy Answer: The policy aligns with the point of sustaining the value of deployed AI systems through the establishment of processes to continually monitor risks after deployment and the implementation of controls to address emerging issues. This ensures that mechanisms are in place and applied to sustain the value of the deployed AI systems over time. Comparison Score: 0.9108686447143555 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Procedures are followed to respond to and recover from a previously unknown risk when it is identified. Ideal Policy Answer: The policy does not provide evidence of procedures being followed to respond to and recover from a previously unknown risk when it is identified. Company Policy Answer: The policy does not provide evidence of procedures being followed to respond to and recover from a previously unknown risk when it is identified. Comparison Score: 1.0 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 15. An ethics review board will evaluate high -risk use cases not covered by this policy, before approval. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- ======================================================================================================================================================== Question: Mechanisms are in place and applied, and responsibilities are assigned and understood, to supersede, disengage, or deactivate AI systems that demonstrate performance or outcomes inconsistent with intended use. Ideal Policy Answer: The policy aligns with the point of having mechanisms in place to supersede, disengage, or deactivate AI systems that demonstrate performance or outcomes inconsistent with intended use. Company Policy Answer: The policy aligns with the point mentioned as it states that the Generative AI Oversight Team is responsible for administering the policy and establishing necessary procedures, guidelines, and updates to align with regulations. This indicates that mechanisms are in place to supervise and monitor the performance and outcomes of AI systems. Additionally, the policy mentions that reviews by the oversight team will be required before deploying generative models, indicating that responsibilities are assigned and understood to disengage or deactivate AI systems that demonstrate inconsistent performance or outcomes. Comparison Score: 0.7332794666290283 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- ======================================================================================================================================================== Question: AI risks and benefits from third-party resources are regularly monitored, and risk controls are applied and documented. Ideal Policy Answer: The policy aligns with the point of regularly monitoring AI risks and benefits from third-party resources through the commitment to continuous evaluation and periodic review of AI systems. This includes conducting regular evaluations and audits to identify and mitigate potential biases, errors, or risks, as well as reviewing the policy periodically to ensure alignment with evolving ethical standards and technological advancements. These practices demonstrate a proactive approach to monitoring and addressing risks associated with third-party resources in AI development and deployment. Company Policy Answer: The policy aligns with the point that AI risks and benefits from third-party resources are regularly monitored, and risk controls are applied and documented through the establishment of processes to continually monitor risks after deployment and the requirement for reviews by the oversight team at major milestones before deploying generative models internally or externally. Comparison Score: 0.9049125909805298 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Pre-trained models which are used for development are monitored as part of AI system regular monitoring and maintenance. Ideal Policy Answer: The policy aligns with the point of monitoring pre-trained models as part of regular monitoring and maintenance of AI systems. Company Policy Answer: The policy does not provide evidence of aligning with the point that pre-trained models used for development are monitored as part of AI system regular monitoring and maintenance. Comparison Score: 0.6522454619407654 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 2. Data Governance: a. Data Quality: We will strive to use high -quality, diverse, and representative datasets to train our AI models, minimizing biases and ensuring accuracy. b. User Consent: User consent will be a fundamental consideration in collecting and utilizing data for AI purposes. Clear and informed consent mechanisms will be implemented. 3. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Post-deployment AI system monitoring plans are implemented, including mechanisms for capturing and evaluating input from users and other relevant AI actors, appeal and override, decommissioning, incident response, recovery, and change management. Ideal Policy Answer: The policy aligns with the point of post-deployment AI system monitoring plans being implemented through the commitment to continuous evaluation and regular audits of AI systems. This ensures that potential biases, errors, or risks are identified and mitigated. Additionally, the policy emphasizes the importance of accountability and responsibility, indicating that mechanisms for oversight, addressing unintended consequences, and change management will be integrated into the development processes. Company Policy Answer: The policy aligns with the point of implementing post-deployment AI system monitoring plans by establishing processes to continually monitor risks after deployment and controls to address emerging issues. This ensures that mechanisms for capturing and evaluating input from users and other relevant AI actors are in place. Additionally, the policy emphasizes the establishment of feedback channels to allow reporting issues by users and affected groups, which contributes to the evaluation and improvement of the AI models over time. Comparison Score: 0.9067810773849487 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Measurable activities for continual improvements are integrated into AI system updates and include regular engagement with interested parties, including relevant AI actors. Ideal Policy Answer: The policy aligns with the point of regular engagement with interested parties, including relevant AI actors, through the mechanism of stakeholder engagement. This is evident from the statement in the context that Badguys will maintain open channels for dialogue with stakeholders, including users, customers, and the public, to address concerns and gather feedback. This engagement with interested parties allows for continual improvements in the AI system updates and ensures that the policy aligns with the point mentioned. Company Policy Answer: The policy aligns with the point of integrating measurable activities for continual improvements into AI system updates and engaging with interested parties. This can be seen in the statement that "Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time." This indicates that the policy includes mechanisms for gathering feedback from interested parties and using that feedback to make improvements to the AI system. Comparison Score: 0.8212162256240845 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. External Collaboration and Education: a. Industry Collaboration: We will collaborate with industry peers, researchers, and policymakers to share best practices and contribute to the development of ethical AI standards. b. Employee Education: Continuous training and education programs for our employees will emphasize ethical AI principles and practices. 5. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ======================================================================================================================================================== Question: Incidents and errors are communicated to relevant AI actors, including affected communities. Processes for tracking, responding to, and recovering from incidents and errors are followed and documented. Ideal Policy Answer: The policy does not provide evidence of aligning with the point mentioned. Company Policy Answer: The policy does not provide evidence of aligning with the point mentioned. Comparison Score: 0.9999999403953552 -------------------------------------------------------------------------------------------------------------------------------------------------------- Ideal Policy Sources:page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Periodic Review: This policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. 6. Reporting and Communication: a. Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Clear and informed consent mechanisms will be implemented. 3. AI Development and Deployment: a. Continuous Evaluation: Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. b. Human Oversight: Human supervision and intervention will be incorporated into AI systems, especially in critical decision -making processes, to prevent unintended consequences. 4. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Our systems will be designed to promote fairness and equity. c. Privacy Protection: Respecting user privacy is paramount. Our AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. d. Accountability and Responsibility: We will take responsibility for the outcomes of our AI systems. Mechanisms for oversight, accountability, and addressing unintended consequences will be integrated into our development processes. 2. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 This policy outlines our commitment to ethical AI practices: 1. Ethical Principles: a. Transparency: We commit to transparency in our AI systems' design, development, and deployment. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. b. Fairness and Equity: We will ensure that our AI technologies do not propagate bias or discrimination based on race, gender, age, ethnicity, or any other protected characteristic. ----- page_label: 2 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 b. Stakeholder Engagement: Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback. Conclusion: Badguys is committed to upholding the highest ethical standards in the development and deployment of AI technologies. This policy serves as a guiding framework to ensure that our AI systems align with our values of responsibility, fairness, transparency, a nd accountability. ----- page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf file_type: application/pdf file_size: 12860 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 5. Compliance and Review: a. Compliance with Regulations: We will adhere to all applicable laws, regulations, and industry standards governing AI technologies. ----- -------------------------------------------------------------------------------------------------------------------------------------------------------- Company Policy Sources:page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge. 12. Attribution indicating content is AI -generated will be clearly displayed for external uses. 13. Controls like human -in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher. 14. Feedback channels will be created to allow reporting issues by users and affected groups, to improve models over time. 15. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Policy Statements Governance 1. A generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. 2. Generative AI projects will follow documented processes for risk -based decisions on development, deployment and monitoring. 3. Staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. 4. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Purpose This policy provides guidance on developing, deploying and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). It aims to maximize benefits and minimize potential negative impacts to individuals, groups, organizations and society. Scope This policy applies to all employees, contractors, systems and processes involved in the design, development, deployment or use of generative AI systems, including but not limited to, text, image, video and audio generation. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 7. Risk prioritization decisions will balance beneficial use cases and public access with responsible controls. Measurement & Testing 8. Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. 9. Testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. 10. Processes to continually monitor risks after deployment will be established, along with controls to address emerging issues. Transparency & Accountability 11. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 4. Reviews by the oversight team at major milestones will be required before deploying generative models internally or externally. Mapping Risks 5. Intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re -evaluated regularly. 6. Risks assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case. 7. ----- page_label: 2 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf file_type: application/pdf file_size: 12822 creation_date: 2023-11-23 last_modified_date: 2023-11-23 last_accessed_date: 2023-11-23 Administration The Generative AI Oversight Team is responsible for administering this policy, establishing necessary procedures, guidelines and updates to align with regulations. ----- ========================================================================================================================================================