,Dimension,Gold,Gold Sources,Company,Company Sources,Score,Reason "Legal and regulatory requirements involving AI are understood, managed, and documented.",Govern,"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.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ","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.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.8640898," The answer extracted from the Company's AI Policy is missing some specific details about how the organization manages and documents legal and regulatory requirements involving AI. The Gold Standard Policy provides more information about the organization's commitment to compliance and includes specific examples of how they manage and document these requirements. Therefore, the comparison score is lower for the Company's AI Policy than the Gold Standard Policy." "The characteristics of trustworthy AI are integrated into organizational policies, processes, procedures, and practices.",Govern,"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.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ","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.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.8660805," When comparing the two answers, it appears that the answer extracted from the Company's AI Policy is more focused on specific examples of how the policy aligns with the characteristics of trustworthy AI, while the answer extracted from the Gold Standard Policy provides a more general overview of how the policy addresses these characteristics. In particular, the answer from the Company's AI Policy mentions the creation of a generative AI oversight team and the requirement for generative AI projects to follow documented processes for risk-based decisions, which are specific examples of how the policy aligns with the characteristics of trustworthy AI. In contrast, the answer from the Gold Standard Policy provides a more general statement about the importance of transparency, fairness, oversight, and continuous evaluation in AI systems, without providing specific examples of how the policy addresses these characteristics. Overall, both answers provide valuable insights into how organizations can integrate the characteristics of trustworthy AI into their policies, processes, procedures, and practices. However, the answer from the Company's AI Policy may be more useful for organizations looking for specific examples of how to implement such policies, while the answer from the Gold Standard Policy may be more useful for organizations looking for a broader understanding of the key principles involved." "Processes, procedures, and practices are in place to determine the needed level of risk management activities based on the organization's risk tolerance.",Govern,"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.","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. ----- ","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.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.8524506," The answer extracted from the Company's AI Policy is similar to the one extracted from the Gold Standard Policy in terms of its focus on risk management activities based on the organization's risk tolerance. However, there are some differences between the two answers. Firstly, the Gold Standard Policy explicitly mentions the organization's commitment to compliance and review, which suggests that the policy is regularly reviewed and updated to ensure it remains relevant and effective. In contrast, the Company's AI Policy does not mention any specific process for reviewing or updating the policy. Secondly, the Gold Standard Policy provides more specific details about the organization's approach to risk management, including its commitment to adhering to all applicable laws, regulations, and industry standards governing AI technologies. While the Company's AI Policy also mentions compliance with regulations and standards, it does not provide as much detail about the specific measures the organization has in place to ensure compliance. Overall, while both answers highlight the importance of risk management in AI, the Gold Standard Policy provides more specific details about the organization's approach to risk management and its commitment to compliance and review." "The risk management process and its outcomes are established through transparent policies, procedures, and other controls based on organizational risk priorities.",Govern,"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.","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. ----- ","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.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.87686527," The answer extracted from the Company's AI Policy is missing information about the periodic review of the policy itself. While the policy does mention the need for transparency and accountability, it does not explicitly state that the policy will be reviewed periodically to ensure alignment with evolving ethical standards and technological advancements. Additionally, the policy does not mention any specific mechanisms for addressing biases or errors in AI systems, which is an important aspect of risk management. Overall, while the Company's AI Policy aligns with the establishment of transparent policies, procedures, and other controls based on organizational risk priorities, it may benefit from additional information about periodic review and bias mitigation strategies." "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.",Govern,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.,"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. ----- ","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.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.846112," The answer extracted from the Company's AI Policy is more detailed than the one extracted from the Gold Standard Policy. The Company's AI Policy provides specific details on how the risk management process will be monitored and reviewed, including the establishment of processes to continually monitor risks after deployment and the requirement for reviews by the oversight team at major milestones. In contrast, the Gold Standard Policy only mentions that the policy will be reviewed periodically to ensure its alignment with evolving ethical standards and technological advancements. Therefore, the missing information in the answer extracted from the Company's AI Policy when compared to the one extracted from the Gold Standard Policy is the specific details on how the risk management process will be monitored and reviewed." Mechanisms are in place to inventory AI systems and are resourced according to organizational risk priorities.,Govern,The policy does not provide evidence of mechanisms in place to inventory AI systems and resource them according to organizational risk priorities.,"page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ",The policy does not provide evidence of mechanisms in place to inventory AI systems and resource them according to organizational risk priorities.,"page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.99999994," The answer extracted from the Gold Standard AI Policy states that ""mechanisms are in place to inventory AI systems and are resourced according to organizational risk priorities."" This implies that there is a process in place for identifying, tracking, and managing AI systems based on their potential impact on the organization's risks. The policy also suggests that resources are allocated based on these risk priorities, indicating that the organization has a clear understanding of the level of risk associated with each AI system and has taken steps to mitigate those risks. In contrast, the answer extracted from the Company's AI Policy simply states that ""the policy does not provide evidence of mechanisms in place to inventory AI systems and resource them according to organizational risk priorities."" This answer is more straightforward and does not provide any additional information about the specific mechanisms or processes in place to manage AI systems or allocate resources based on risk priorities. Therefore, the missing information in the answer extracted from the Company's AI Policy is a description of the specific mechanisms and processes in place to inventory AI systems and allocate resources based on organizational risk priorities. This information would provide a clearer picture of how the company manages its AI systems and mitigates potential risks." 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.,Govern,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.,"page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ",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.,"page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",1.0," The answer extracted from the Gold Standard AI Policy provides more specific details about the processes and procedures 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. The comparison score of 1.0 indicates that the answer extracted from the Company's AI Policy is identical to the one extracted from the Gold Standard Policy, which means that it lacks the specificity and detail provided in the Gold Standard Policy's answer. Therefore, the missing information in the answer extracted from the Company's AI Policy is the specific 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." "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.",Govern,"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.","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. ----- ","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.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.8448348," The answer extracted from the Company's AI Policy provides more specific details about the roles and responsibilities of the team members involved in overseeing AI risks. It also mentions the creation of a generative AI oversight team, which is not explicitly mentioned in the Gold Standard Policy. However, the Gold Standard Policy does mention the need for mechanisms for oversight, accountability, and addressing unintended consequences, which could imply the existence of a similar team or process. In terms of lines of communication, both policies suggest that there should be clear communication regarding AI risks throughout the organization. The Company's AI Policy goes further by specifically mentioning that staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. This suggests that there may be a more structured approach to training and communication related to AI risks in the company compared to the Gold Standard Policy. Overall, while both policies align with the point of documenting roles and responsibilities and lines of communication related to mapping, measuring, and managing AI risks, the Company's AI Policy provides more specific details about the roles and responsibilities of the team members involved and the training provided to staff." "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.",Govern,The policy does not provide evidence of personnel and partners receiving AI risk management training.,"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. ----- ","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.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.44165966," The answer extracted from the Company's AI Policy provides more specific details about the type of training that personnel and partners receive, including topics such as safety, fairness, accountability, and regulatory compliance. However, it does not mention any specific policies or agreements that the training is aligned with. In contrast, the answer extracted from the Gold Standard Policy mentions that the policy does not provide evidence of personnel and partners receiving AI risk management training, which suggests that there may be no specific policies or agreements in place that require this training. Therefore, the missing information in the answer extracted from the Company's AI Policy is the specific policies or agreements that the training is aligned with." Executive leadership of the organization takes responsibility for decisions about risks associated with AI system development and deployment.,Govern,"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.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ","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.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.9164174," The answer extracted from the Company's AI Policy provides more specific details about how the executive leadership is involved in the oversight and decision-making process regarding the risks associated with AI system development and deployment. Specifically, it mentions the creation of a generative AI oversight team comprised of diverse disciplines, indicating that the team will have input into the development process and will be responsible for identifying and mitigating potential risks. In contrast, the answer extracted from the Gold Standard Policy simply 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. Therefore, the answer from the Company's AI Policy provides more information about the specific steps being taken to address risks associated with AI system development and deployment." "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).",Govern,"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.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ","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.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.9056032," The answer extracted from the Company's AI Policy is similar to the one extracted from the Gold Standard Policy in that it emphasizes the importance of having a diverse team involved in decision-making related to mapping, measuring, and managing AI risks throughout the lifecycle. However, there are some differences between the two answers. Firstly, the Company's AI Policy specifically mentions the creation of a generative AI oversight team, which is not explicitly mentioned in the Gold Standard Policy. The generative AI oversight team is composed of diverse disciplines such as engineering, human factors, audit, legal, and ethics, and is responsible for making risk-based decisions on development, deployment, and monitoring of generative AI projects. This suggests that the company places a greater emphasis on the specific role of this team in decision-making related to AI risks. Secondly, the Company's AI Policy does not provide any information about the composition of the diverse team beyond the generative AI oversight team. In contrast, the Gold Standard Policy provides more details about the diversity of the team, including demographics, disciplines, experience, expertise, and backgrounds. This suggests that the company may have a more general approach to diversity in decision-making related to AI risks, while the Gold Standard Policy may place a greater emphasis on specific aspects of diversity. Overall, while both answers highlight the importance of having a diverse team involved in decision-making related to AI risks, they differ in terms of the specific roles and responsibilities of the team, as well as the level of detail provided about the diversity of the team." Policies and procedures are in place to define and differentiate roles and responsibilities for human-AI configurations and oversight of AI systems.,Govern,"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.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ","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.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.8303128," The answer extracted from the Company's AI Policy provides more specific details about the team responsible for overseeing the AI systems and ensuring that the roles and responsibilities for human-AI configurations are defined and differentiated. The generative AI oversight team comprises diverse disciplines such as engineering, human factors, audit, legal, and ethics, indicating a comprehensive approach to overseeing AI systems. However, it does not provide any information on how the team will incorporate human oversight and intervention into AI systems or prevent unintended consequences. On the other hand, the answer extracted from the Gold Standard Policy provides a general statement about the need for human involvement in overseeing AI systems and preventing unintended consequences. It does not provide any specific details about the team responsible for overseeing the AI systems or how the roles and responsibilities for human-AI configurations will be defined and differentiated. Therefore, the missing information in the answer extracted from the Company's AI Policy when compared to the one extracted from the Gold Standard Policy is the specific details about how the generative AI oversight team will incorporate human oversight and intervention into AI systems and prevent unintended consequences." "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.",Govern,"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.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ","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.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.8966376," The answer extracted from the Company's AI Policy provides more specific details about the measures taken to foster a critical thinking and safety-first mindset in the design, development, deployment, and uses of AI systems. For example, it mentions the creation of a generative AI oversight team, the use of documented processes for risk-based decisions, and staff training on topics related to safety, fairness, accountability, and regulatory compliance. However, it does not explicitly state how these measures will help minimize potential negative impacts of AI systems. In contrast, the answer extracted from the Gold Standard AI Policy provides a clearer explanation of how the measures mentioned will help minimize potential negative impacts of AI systems. For example, it explains how 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. It also mentions how regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. Overall, while both answers provide some information about the measures taken to foster a critical thinking and safety-first mindset in the design, development, deployment, and uses of AI systems, the Gold Standard AI Policy provides a more comprehensive and detailed explanation of how these measures will help minimize potential negative impacts of AI systems." "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.",Govern,"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.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ","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.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.91021276," The answer extracted from the Company's AI Policy provides additional information on the specific focus of risk assessments being conducted for each intended use case of generative AI. However, it does not mention any requirement for continuous evaluation and auditing of AI systems to identify and mitigate potential biases, errors, or risks, which is included in the Gold Standard Policy. Therefore, the answer extracted from the Company's AI Policy is less comprehensive than the one extracted from the Gold Standard Policy in terms of the scope of risk assessment and documentation requirements." "Organizational practices are in place to enable AI testing, identification of incidents, and information sharing.",Govern,"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.","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. ----- ","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.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.91865325," The answer extracted from the Company's AI Policy is missing some important details compared to the one extracted from the Gold Standard Policy. Specifically, the answer from the Gold Standard Policy emphasizes the importance of continuous evaluation and audits of AI systems to identify potential biases, errors, or risks, as well as the integration of mechanisms for oversight, accountability, and addressing unintended consequences into the development processes. These additional details provide a more comprehensive picture of how the organization is ensuring effective incident identification and risk management. In contrast, the answer from the Company's AI Policy only mentions the establishment of processes to continually monitor risks after deployment and controls to address emerging issues, which may not be sufficient to fully address all potential issues related to AI systems. Overall, the answer from the Gold Standard Policy provides a more robust framework for managing AI risks and ensuring effective incident identification and information sharing." "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.",Govern,The policy does not provide evidence of aligning with the point mentioned.,"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. ----- ","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.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.35541716," The answer extracted from the Company's AI Policy provides some evidence of aligning with the point mentioned, but it is limited to the creation of feedback channels for users and affected groups. The policy does not explicitly mention the collection, consideration, prioritization, and integration of feedback from external sources related to AI risks. In contrast, the answer extracted from the Gold Standard Policy provides more comprehensive information on how organizational policies and practices can be used to collect, consider, prioritize, and integrate feedback from external sources related to AI risks. Therefore, the comparison score of 0.3554171621799469 suggests that the answer extracted from the Company's AI Policy is less complete than the one extracted from the Gold Standard Policy." 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.,Govern,"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.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ","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.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.8857664," The answer extracted from the Company's AI Policy is missing some important details compared to the one extracted from the Gold Standard Policy. Specifically, the answer from the Gold Standard Policy mentions the commitment to stakeholder engagement and the establishment of open channels for dialogue with stakeholders, including users, customers, and the public. This suggests that the team that developed or deployed AI systems will actively seek out feedback from a wide range of stakeholders and take steps to address any concerns they may have. In contrast, the answer from the Company's AI Policy only mentions the establishment of feedback channels, but does not provide any information about how these channels will be used or who will be involved in the feedback process. As a result, it is unclear whether the company has a comprehensive approach to stakeholder engagement or whether they are simply interested in receiving feedback from a limited group of stakeholders. Overall, while both answers highlight the importance of incorporating adjudicated feedback from relevant AI actors into system design and implementation, the answer from the Gold Standard Policy provides more context and detail about the mechanisms that will be used to achieve this goal." "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.",Govern,"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.","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. ----- ","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.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",1.0," The answer extracted from the Company's AI Policy is similar to the one extracted from the Gold Standard Policy in that it states that policies and procedures are in place to address AI risks associated with third-party entities. However, the key difference between the two answers is that the Gold Standard Policy provides more specific details about the types of risks being addressed, such as infringement of a third-party's intellectual property or other rights. The Company's AI Policy, on the other hand, does not provide any evidence of addressing these specific risks. Therefore, the comparison score for the two answers is 1.0, indicating that they are identical in terms of content." Contingency processes are in place to handle failures or incidents in third-party data or AI systems deemed to be high-risk.,Govern,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.,"page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ",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.,"page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.9999999," The answer extracted from the Gold Standard AI Policy states that contingency processes are in place to handle failures or incidents in third-party data or AI systems deemed to be high-risk. However, it does not provide any specific details about these processes or how they work. On the other hand, the answer extracted from the Company's AI Policy also states that there are no specific contingency processes in place for handling failures or incidents in third-party data or AI systems deemed to be high-risk. This answer provides more information than the first one by explicitly stating that there are no such processes in place. Therefore, the missing information in the answer extracted from the Company's AI Policy when compared to the one extracted from the Gold Standard Policy is the specific details about the contingency processes that are in place to handle failures or incidents in third-party data or AI systems deemed to be high-risk." "Intended purposes, potentially beneficial uses, context specific laws, norms and expectations, and prospective settings in which the AI system will be deployed are understood and documented. Considerations include: the specific set or types of users along with their expectations; potential positive and negative impacts of system uses to individuals, communities, organizations, society, and the planet; assumptions and related limitations about AI system purposes, uses, and risks across the development or product AI lifecycle; and related TEVV and system metrics.",Map,"The policy aligns with the point of understanding and documenting the intended purposes, potentially beneficial uses, context-specific laws, norms, and expectations, as well as prospective settings in which the AI system will be deployed. This is evident in the commitment to transparency, fairness, and equity outlined in the policy. The policy states that users and stakeholders will be informed about the use of AI, its capabilities, and limitations. It also emphasizes the importance of using high-quality, diverse, and representative datasets to train AI models, minimizing biases and ensuring accuracy. Additionally, the policy highlights the need for compliance with all applicable laws, regulations, and industry standards governing AI technologies. These considerations demonstrate an understanding of the potential positive and negative impacts of system uses to individuals, communities, organizations, society, and the planet, as well as the assumptions and limitations associated with AI system purposes, uses, and 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: 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. ----- ","The policy aligns with the point mentioned as it states that the intended use cases, target users, deployment contexts, and potential benefits and harms will be defined early and re-evaluated regularly. This demonstrates that the policy aims to understand and document the intended purposes, potentially beneficial uses, and context-specific factors such as laws, norms, and expectations. Additionally, the policy emphasizes the need to analyze and document safety, ethical, legal, reputational, and technical risks for each intended use case, which shows consideration for potential positive and negative impacts of system uses to individuals, communities, organizations, society, and the planet. The policy also highlights the importance of staff training on topics like safety, fairness, accountability, and regulatory compliance, indicating an understanding of assumptions and related limitations about AI system purposes, uses, and risks across the development or product AI lifecycle. Finally, the policy mentions the establishment of processes to continually monitor risks after deployment and controls to address emerging issues, which aligns with the need for related TEVV (Testing, Evaluation, Verification, and Validation) and system metrics.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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 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 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. ----- ",0.86901057," The answer extracted from the Company's AI Policy covers most of the points mentioned in the Gold Standard Policy, but there are some differences and additional considerations that are not explicitly stated in the Company's policy. Specifically, the Company's policy does not mention the need for transparency, fairness, and equity, which are important aspects of AI systems and their impact on individuals, communities, organizations, society, and the planet. Additionally, the Company's policy does not emphasize the importance of using high-quality, diverse, and representative datasets to train AI models, which can help minimize biases and ensure accuracy. Furthermore, the Company's policy does not highlight the need for ongoing monitoring and evaluation of AI systems to identify and address emerging issues, which is crucial for ensuring their safe and ethical use. Overall, while the Company's policy covers many important considerations, it may benefit from incorporating more explicit statements about transparency, fairness, equity, dataset quality, and ongoing monitoring and evaluation." "Interdisciplinary AI actors, competencies, skills, and capacities for establishing context reflect demographic diversity and broad domain and user experience expertise, and their participation is documented. Opportunities for interdisciplinary collaboration are prioritized.",Map,"The policy does not provide evidence of aligning with the point regarding interdisciplinary AI actors, competencies, skills, and capacities reflecting demographic diversity and broad domain and user experience expertise, and their participation being documented. It also does not mention prioritizing opportunities for interdisciplinary collaboration.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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 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: 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. ----- ","The policy aligns with the point of interdisciplinary AI actors and competencies by stating that a generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. This indicates that the team will have a range of expertise and skills from different domains. 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 policy prioritizes opportunities for interdisciplinary collaboration and ensures that the team members have the necessary competencies and skills to establish context and address diverse perspectives.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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 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. ----- ",0.5380844," The answer extracted from the Company's AI Policy provides more specific details about how the organization plans to ensure interdisciplinary collaboration and promote diversity in its AI team. The creation of a generative AI oversight team comprising experts from various domains such as engineering, human factors, audit, legal, and ethics indicates that the company recognizes the importance of having a diverse range of perspectives and expertise to address complex AI issues. The policy also mentions that staff will receive training on topics like safety, fairness, accountability, and regulatory compliance, which further emphasizes the need for interdisciplinary collaboration and the development of necessary competencies and skills. In contrast, the answer extracted from the Gold Standard Policy is less specific and only mentions the need for interdisciplinary collaboration and the documentation of participation. While it acknowledges the importance of diversity and broad domain expertise, it does not provide any concrete steps or initiatives to achieve these goals. Therefore, the comparison score of 0.5380843877792358 reflects the difference in the level of detail and specificity between the two policies." The organization's mission and relevant goals for AI technology are understood and documented.,Map,"The policy aligns with the point of understanding and documenting the organization's mission and relevant goals for AI technology in the following section: ""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."" This demonstrates that the organization understands the importance of transparency and aims to inform users and stakeholders about the use of AI, which aligns with their mission and goals for AI technology.","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. ----- ","The policy aligns with the point ""The organization's mission and relevant goals for AI technology are understood and documented"" in the following way: The purpose of the policy is to provide guidance on developing, deploying, and using generative AI responsibly and aligning practices with the NIST AI Risk Management Framework (RMF). This indicates that the organization has a clear understanding of its goals for AI technology and has documented them in the policy.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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: 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. ----- ",0.8731877," The answer extracted from the Company's AI Policy provides information on how the organization plans to develop, deploy, and use AI responsibly, but it does not explicitly mention the organization's mission or goals for AI technology. In contrast, the answer extracted from the Gold Standard AI Policy clearly states that the policy aligns with the organization's mission and relevant goals for AI technology, and provides an example of how transparency is an important principle for achieving those goals. Therefore, the missing information in the answer extracted from the Company's AI Policy is the specific details of the organization's mission and goals for AI technology." The business value or context of business use has been clearly defined or - in the case of assessing existing AI systems - re-evaluated.,Map,The policy does not provide evidence of aligning with the point of clearly defining the business value or context of business use. The context information does not mention any specific information related to the business value or context of business use being clearly defined or re-evaluated.,"page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ",The policy aligns with the point of clearly defining the business value or context of business use.,"page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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 15. An ethics review board will evaluate high -risk use cases not covered by this policy, before approval. ----- ",0.5919927," The answer extracted from the Company's AI Policy appears to be more comprehensive than the one extracted from the Gold Standard Policy. The former explicitly states that the policy aligns with the point of clearly defining the business value or context of business use, while the latter only mentions that the context information does not mention any specific information related to the business value or context of business use being clearly defined or re-evaluated. Therefore, it seems that the missing information in the answer extracted from the Company's AI Policy is the specific details on how the policy defines or re-evaluates the business value or context of business use. It would be helpful to know what criteria were used to determine the business value or context of business use, as well as any specific examples or case studies that illustrate how the policy applies to real-world scenarios. Additionally, it would be useful to understand how the policy ensures that the AI systems developed within the organization are aligned with the defined business value or context of business use." Organizational risk tolerances are determined and documented.,Map,The policy does not provide evidence of where it aligns with the point of determining and documenting organizational risk tolerances.,"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 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 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. ----- ","The policy aligns with the point of determining and documenting organizational risk tolerances through the statement ""Generative AI projects will follow documented processes for risk-based decisions on development, deployment, and monitoring."" This indicates that the policy includes procedures for assessing and managing risks associated with generative AI projects, which implies that organizational risk tolerances are considered and documented as part of the decision-making process.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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 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: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.5153793," The answer extracted from the Company's AI Policy provides more specific details about how the policy addresses the point of determining and documenting organizational risk tolerances. The statement ""Generative AI projects will follow documented processes for risk-based decisions on development, deployment, and monitoring"" indicates that the policy includes procedures for assessing and managing risks associated with generative AI projects, which implies that organizational risk tolerances are considered and documented as part of the decision-making process. In contrast, the answer extracted from the Gold Standard Policy does not provide any specific information about how the policy addresses this point. Therefore, the comparison score is relatively low (0.515) because the answer from the Company's AI Policy provides more detailed information than the answer from the Gold Standard Policy." "System requirements (e.g., ""the system shall respect the privacy of its users"") are elicited from and understood by relevant AI actors. Design decisions take socio-technical implications into account to address AI risks.",Map,"The policy aligns with the point of eliciting system requirements from relevant AI actors and taking socio-technical implications into account to address AI risks in the following ways: - The policy states that privacy protection is paramount and that AI systems will adhere to data protection laws and implement robust privacy measures to safeguard user data. This demonstrates a commitment to respecting user privacy and taking into account the socio-technical implications of privacy in AI systems. - The policy also emphasizes the importance of accountability and responsibility for the outcomes of AI systems. It mentions integrating mechanisms for oversight, accountability, and addressing unintended consequences into the development processes. This shows a recognition of the need to consider the socio-technical implications of AI risks and take steps to mitigate them. Overall, the policy demonstrates a commitment to understanding and addressing the socio-technical implications of AI by prioritizing privacy protection, accountability, and responsibility.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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 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. 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: 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. ----- ","The policy aligns with the point ""System requirements (e.g., 'the system shall respect the privacy of its users') are elicited from and understood by relevant AI actors. Design decisions take socio-technical implications into account to address AI risks"" 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 team will be responsible for making risk-based decisions on development, deployment, and monitoring of generative AI projects. Additionally, staff will receive RMF and generative AI risk training on topics like safety, fairness, accountability, and regulatory compliance. These measures ensure that relevant AI actors are involved in understanding system requirements and that design decisions consider socio-technical implications to address AI risks.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.87083805," The answer extracted from the Company's AI Policy provides more specific details about how the policy addresses the socio-technical implications of AI risks. For example, it mentions the creation of a generative AI oversight team and staff training on topics related to AI risk management. However, it does not explicitly state the policy's commitment to privacy protection or accountability as strongly as the Gold Standard Policy. Therefore, the comparison score is lower than the previous answer." "The specific tasks and methods used to implement the tasks that the AI system will support are defined (e.g., classifiers, generative models, recommenders).",Map,The policy does not provide evidence of aligning with the specific point mentioned. The context information does not mention any specific tasks or methods used to implement the tasks that the AI system will support.,"page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ","The policy aligns with the point ""The specific tasks and methods used to implement the tasks that the AI system will support are defined"" through the statement ""Generative AI projects will follow documented processes for risk-based decisions on development, deployment and monitoring."" This indicates that the policy requires the definition and documentation of processes for developing, deploying, and monitoring generative AI projects, which includes specifying the specific tasks and methods used to implement the tasks that the AI system will support.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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: 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. ----- ",0.523636," The answer extracted from the Company's AI Policy provides more specific details about how the policy aligns with the point ""The specific tasks and methods used to implement the tasks that the AI system will support are defined"". It mentions that generative AI projects will follow documented processes for risk-based decisions on development, deployment, and monitoring, which includes specifying the specific tasks and methods used to implement the tasks that the AI system will support. However, it does not provide any further information about the specific tasks and methods used. In contrast, the answer extracted from the Gold Standard AI Policy does not provide any specific information about how the policy aligns with the point ""The specific tasks and methods used to implement the tasks that the AI system will support are defined"". It only states that the policy does not provide evidence of aligning with this point. Therefore, the answer extracted from the Company's AI Policy is more detailed and specific than the one extracted from the Gold Standard AI Policy. However, it still lacks information about the specific tasks and methods used to implement the tasks that the AI system will support." Information about the AI system's knowledge limits and how system output may be utilized and overseen by humans is documented. Documentation provides sufficient information to assist relevant AI actors when making decisions and taking subsequent actions.,Map,"The policy aligns with the point of providing information about the AI system's knowledge limits and how system output may be utilized and overseen by humans. This is evident in the commitment to transparency in the design, development, and deployment of AI systems. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. This documentation provides sufficient information to assist relevant AI actors when making decisions and taking subsequent actions.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ","The policy aligns with the mentioned point as it states that controls like human-in-the-loop oversight will be required where risks of harmful, biased, or misleading outputs are higher. This indicates that the policy acknowledges the importance of human oversight in monitoring and overseeing the AI system's outputs. Additionally, the policy mentions that generative AI projects will follow documented processes for risk-based decisions on development, deployment, and monitoring. This documentation is likely to provide relevant AI actors with sufficient information to assist them in making decisions and taking subsequent actions regarding the AI system's knowledge limits and how its output may be utilized and overseen by humans.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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: 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. ----- ",0.79346496," The answer extracted from the Company's AI Policy seems to be more specific in terms of the measures that will be taken to ensure human oversight and control over the AI system's outputs. It mentions the use of human-in-the-loop oversight and the requirement for documented processes for risk-based decisions on development, deployment, and monitoring of generative AI projects. In contrast, the answer extracted from the Gold Standard Policy is more general in nature and focuses on the importance of transparency in the design, development, and deployment of AI systems, as well as the need to provide users and stakeholders with sufficient information about the AI system's capabilities and limitations. Therefore, the missing information in the answer extracted from the Company's AI Policy when compared to the one extracted from the Gold Standard Policy is the level of detail provided on the specific mechanisms and procedures that will be used to ensure human oversight and control over the AI system's outputs. While the Company's AI Policy mentions the use of human-in-the-loop oversight and documented processes for risk-based decisions, it does not provide any further details on how these mechanisms will be implemented or monitored. In contrast, the Gold Standard Policy provides a more comprehensive overview of the importance of transparency and the need to document information about the AI system's knowledge limits and how its output may be utilized and overseen by humans." "Scientific integrity and TEVV considerations are identified and documented, including those related to experimental design, data collection and selection (e.g., availability, representativeness, suitability), system trustworthiness, and construct validation.",Map,"The policy aligns with the point of scientific integrity and TEVV considerations by stating that high-quality, diverse, and representative datasets will be used to train AI models, minimizing biases and ensuring accuracy. This demonstrates a commitment to proper experimental design and data collection and selection. Additionally, the policy emphasizes the importance of transparency in the design, development, and deployment of AI systems, which contributes to system trustworthiness.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. 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. ----- ","The policy aligns with the point of scientific integrity and TEVV considerations being identified and documented in several ways. Firstly, the policy states that generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. This indicates that the policy recognizes the importance of system trustworthiness and the need for thorough testing. Additionally, the policy mentions that testing sets will cover a broad, representative set of use cases and be routinely updated, which demonstrates a commitment to ensuring the representativeness and suitability of data used in the models. Finally, the policy emphasizes the documentation of model details, including data sources and training methodology, which is essential for construct validation and maintaining scientific integrity.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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 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. ----- ",0.80007213," The answer extracted from the Company's AI Policy covers several aspects of scientific integrity and TEVV considerations, such as system trustworthiness, testing, and documentation. However, it does not explicitly mention the use of high-quality, diverse, and representative datasets to train AI models, which is an important aspect of scientific integrity and TEVV considerations. Therefore, the answer extracted from the Company's AI Policy is missing this crucial consideration." Potential benefits of intended AI system functionality and performance are examined and documented.,Map,"The policy aligns with the point of examining and documenting the potential benefits of intended AI system functionality and performance through its commitment to transparency. The policy states that users and stakeholders will be informed about the use of AI, its capabilities, and limitations, which implies that the potential benefits of the AI system's functionality and performance will be communicated and documented.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ","The policy aligns with the point that potential benefits of intended AI system functionality and performance are examined and documented through the requirement of risk assessments for each intended use case. These risk assessments analyze and document various aspects, including potential benefits and harms, safety, ethical, legal, reputational, and technical risks. This process ensures that the potential benefits of the AI system's functionality and performance are carefully evaluated and documented.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.8348744," The answer extracted from the Company's AI Policy provides more specific details on how the potential benefits of intended AI system functionality and performance are examined and documented. It mentions that risk assessments are conducted for each intended use case, which involves analyzing and documenting various aspects such as potential benefits and harms, safety, ethical, legal, reputational, and technical risks. This process ensures that the potential benefits of the AI system's functionality and performance are carefully evaluated and documented. On the other hand, the answer extracted from the Gold Standard Policy only mentions that users and stakeholders will be informed about the use of AI, its capabilities, and limitations, which implies that the potential benefits of the AI system's functionality and performance will be communicated and documented. However, it does not provide any specific details on how this is done or what aspects are analyzed and documented. Therefore, the answer extracted from the Company's AI Policy provides more comprehensive information on how the potential benefits of intended AI system functionality and performance are examined and documented, while the answer extracted from the Gold Standard Policy is more general and lacks specificity." "Potential costs, including non-monetary costs, which result from expected or realized AI errors or system functionality and trustworthiness - as connected to organizational risk tolerance - are examined and documented.",Map,"The policy aligns with the point of examining and documenting potential costs resulting from AI errors or system functionality and trustworthiness. This is evident in the commitment to continuous evaluation and audits of AI systems to identify and mitigate potential biases, errors, or risks. Additionally, the policy emphasizes the integration of mechanisms for oversight, accountability, and addressing unintended consequences into the development processes of AI systems. These measures demonstrate a proactive approach to understanding and documenting the potential costs associated with AI errors and system functionality, thereby aligning with the point mentioned.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ",The policy aligns with the point of examining and documenting potential costs resulting from AI errors or system functionality and trustworthiness.,"page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.9234158," The answer extracted from the Company's AI Policy is similar to the one extracted from the Gold Standard Policy in that it mentions the importance of examining and documenting potential costs resulting from AI errors or system functionality and trustworthiness. However, the answer from the Company's AI Policy does not provide specific details on how the company plans to achieve this goal. In contrast, the answer from the Gold Standard Policy provides more information on the steps the organization takes to continuously evaluate and audit AI systems to identify and mitigate potential biases, errors, or risks. The Gold Standard Policy also emphasizes the integration of mechanisms for oversight, accountability, and addressing unintended consequences into the development processes of AI systems. Therefore, the answer from the Company's AI Policy is missing specific details on how the company plans to achieve its goal of examining and documenting potential costs resulting from AI errors or system functionality and trustworthiness." "Targeted application scope is specified and documented based on the system's capability, established context, and AI system categorization.",Map,"The policy does not provide evidence of aligning with the point that the targeted application scope is specified and documented based on the system's capability, established context, and AI system categorization. The provided context information does not mention any specific details about how the policy determines the targeted application scope or how it aligns with the system's capability, established context, and AI system categorization.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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 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. ----- ","The policy aligns with the point that the targeted application scope is specified and documented based on the system's capability, established context, and AI system categorization through the statement: ""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."" This statement clearly defines the scope of the policy and specifies the systems and processes that are covered, based on the capability and categorization of the AI system.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.66490746," The answer extracted from the Company's AI Policy provides more specific details about how the policy determines the targeted application scope and how it aligns with the system's capability, established context, and AI system categorization. It also includes a clear definition of the scope of the policy and specifies the systems and processes that are covered based on the capability and categorization of the AI system. However, the answer extracted from the Gold Standard Policy does not provide any specific details about how the policy determines the targeted application scope or how it aligns with the system's capability, established context, and AI system categorization. Therefore, the answer extracted from the Gold Standard Policy is missing in terms of providing specific details about the process for determining the targeted application scope and how it aligns with the system's capability, established context, and AI system categorization." "Processes for operator and practitioner proficiency with AI system performance and trustworthiness - and relevant technical standards and certifications - are defined, assessed, and documented.",Map,"The policy does not provide evidence of processes for operator and practitioner proficiency with AI system performance and trustworthiness, or relevant technical standards and certifications being defined, assessed, and documented.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ","The policy does not provide evidence of processes for operator and practitioner proficiency with AI system performance and trustworthiness, nor does it mention relevant technical standards and certifications.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.9674814," When comparing the two answers, it appears that the answer extracted from the Company's AI Policy is missing information about the processes for operator and practitioner proficiency with AI system performance and trustworthiness, as well as any relevant technical standards and certifications being defined, assessed, and documented. The Gold Standard AI Policy provides more specific details about these processes, which may indicate that the company has taken a more comprehensive approach to ensuring the proficiency and trustworthiness of its operators and practitioners working with AI systems. Additionally, the Gold Standard AI Policy mentions technical standards and certifications, which may suggest that the company has implemented measures to ensure compliance with industry best practices and regulations. Overall, the comparison score indicates that the Gold Standard AI Policy provides more detailed and comprehensive information on these topics than the Company's AI Policy." "Processes for human oversight are defined, assessed, and documented in accordance with organizational policies from the GOVERN function.",Measure,"The policy aligns with the point of defining, assessing, and documenting processes for human oversight in accordance with organizational policies from the GOVERN function 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 the policy recognizes the importance of human oversight in AI systems and includes it as a defined process to ensure responsible and ethical AI practices.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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: 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 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. ----- ","The policy aligns with the point of defining, assessing, and documenting processes for human oversight in accordance with organizational policies from the GOVERN function in the following statement: ""13. Controls like human-in-the-loop oversight will be required where risks of harmful, biased or misleading outputs are higher."" This statement indicates that the policy recognizes the need for human oversight in certain situations and outlines the requirement for controls to be in place to address potential risks associated with generative AI outputs.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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 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. ----- ",0.9068419," The answer extracted from the Company's AI Policy is more specific in terms of identifying the situations where human oversight is necessary and outlining the requirement for controls to be in place. It also mentions the use of ""human-in-the-loop"" oversight, which is a common practice in AI systems where humans monitor and intervene in the system's decisions to ensure they align with ethical and responsible standards. In contrast, the answer extracted from the Gold Standard Policy is more general in its approach, focusing on incorporating human oversight into AI systems in critical decision-making processes without specifying the specific situations or controls required. Therefore, the answer from the Company's AI Policy provides more detailed information about the implementation of human oversight in AI systems." "Approaches for mapping AI technology and legal risks of its components - including the use of third-party data or software - are in place, followed, and documented, as are risks of infringement of a third party's intellectual property or other rights.",Measure,"The policy does not provide evidence of approaches for mapping AI technology and legal risks of its components, including the use of third-party data or software. It also does not mention risks of infringement of a third party's intellectual property or other rights.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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 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. ----- ","The policy does not provide evidence of specific approaches for mapping AI technology and legal risks of its components, including the use of third-party data or software. It also does not mention the risks of infringement of a third party's intellectual property or other rights. Therefore, there is no evidence in the given context that the policy aligns with this point.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.9521941," The answer extracted from the Company's AI Policy is missing information about the specific approaches for mapping AI technology and legal risks of its components, including the use of third-party data or software. Additionally, it does not mention any documentation of these risks or their follow-up actions. In contrast, the answer extracted from the Gold Standard Policy provides evidence of approaches for mapping AI technology and legal risks of its components, including the use of third-party data or software, as well as documentation of these risks and their follow-up actions. Therefore, the answer extracted from the Company's AI Policy is less comprehensive than the one extracted from the Gold Standard Policy." "Internal risk controls for components of the AI system, including third-party AI technologies, are identified and documented.",Measure,"The policy does not provide evidence of internal risk controls for components of the AI system, including third-party AI technologies, being identified and documented.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ","The policy aligns with the point of internal risk controls for components of the AI system, including third-party AI technologies, being identified and documented.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.5883601," The answer extracted from the Gold Standard AI Policy clearly states that internal risk controls for components of the AI system, including third-party AI technologies, are not identified or documented. This indicates that there may be gaps in the company's risk management processes related to AI systems. On the other hand, the answer extracted from the Company's AI Policy aligns with the point of identifying and documenting internal risk controls for components of the AI system, including third-party AI technologies. However, it does not provide any specific details about how these controls are implemented or monitored. Therefore, the missing information in the answer extracted from the Company's AI Policy is the specific details about how internal risk controls for components of the AI system, including third-party AI technologies, are identified, documented, and monitored. It would be helpful to know what types of controls are in place, who is responsible for implementing and monitoring them, and how they are regularly reviewed and updated to ensure their effectiveness." "Likelihood and magnitude of each identified impact (both potentially beneficial and harmful) based on expected use, past uses of AI systems in similar contexts, public incident reports, feedback from those external to the team that developed or deployed the AI system, or other data are identified and documented.",Measure,"The policy aligns with the point of identifying and documenting the likelihood and magnitude of each identified impact by conducting regular evaluations and audits of AI systems to identify and mitigate potential biases, errors, or risks. This demonstrates a commitment to assessing the impact of AI systems based on past uses, public incident reports, and feedback from external sources. Additionally, the policy emphasizes the integration of mechanisms for oversight, accountability, and addressing unintended consequences into the development processes, further supporting the identification and documentation of potential impacts.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ","The policy aligns with the point of identifying and documenting the likelihood and magnitude of each identified impact based on expected use, past uses of AI systems in similar contexts, public incident reports, feedback from those external to the team that developed or deployed the AI system, or other data.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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 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: 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. ----- ",0.89541763," The answer extracted from the Company's AI Policy is very similar to the one extracted from the Gold Standard Policy. However, there is one key difference between the two policies. The Gold Standard Policy specifically mentions the need for regular evaluations and audits of AI systems to identify and mitigate potential biases, errors, or risks. In contrast, the Company's AI Policy does not mention any specific mechanism for conducting regular evaluations and audits of AI systems. Therefore, it is unclear how the company plans to identify and document potential impacts of its AI systems." "Practices and personnel for supporting regular engagement with relevant AI actors and integrating feedback about positive, negative, and unanticipated impacts are in place and documented.",Measure,"The policy aligns with the point of supporting regular engagement with relevant AI actors and integrating feedback about impacts through the practice of 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 demonstrates a commitment to engaging with relevant AI actors and integrating their feedback about positive, negative, and unanticipated impacts.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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: 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 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 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. ----- ","The policy aligns with the point of supporting regular engagement with relevant AI actors and integrating feedback about positive, negative, and unanticipated impacts through the establishment of feedback channels. These channels allow users and affected groups to report issues and provide feedback, which can then be used to improve the generative AI models over time. This practice ensures that there is a mechanism in place to receive feedback and engage with relevant AI actors to address any impacts that may arise.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.87376785," The answer extracted from the Company's AI Policy is missing some specific details about how the feedback channels are established and maintained. It only mentions that they exist, but does not provide information on how they are set up or how often they are reviewed and updated. Additionally, the answer does not specify who is responsible for managing these channels or how feedback is collected and analyzed. In contrast, the answer extracted from the Gold Standard Policy provides more detailed information about how stakeholder engagement is practiced, including specific examples of how Badguys maintains open channels for dialogue with stakeholders. Overall, the answer from the Gold Standard Policy is more comprehensive and provides more specific information about the practices and personnel in place for supporting regular engagement with relevant AI actors and integrating feedback about positive, negative, and unanticipated impacts." Approaches and metrics for measurement of AI risks enumerated during the MAP function are selected for implementation starting with the most significant AI risks. The risks or trustworthiness characteristics that will not - or cannot - be measured are properly documented.,Measure,The policy does not provide evidence of aligning with the point mentioned.,"page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ","The policy aligns with the mentioned point by stating that generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. This indicates that approaches and metrics for measurement of AI risks are selected for implementation. Additionally, the policy emphasizes the documentation of model details, including data sources, training methodology, and model versions, which ensures that risks or trustworthiness characteristics that cannot be measured are properly documented.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.27144277," The answer extracted from the Company's AI Policy provides more specific information about how the approaches and metrics for measuring AI risks will be implemented. It mentions that generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. However, it does not specify which metrics will be used to measure these risks or how they will be evaluated. In contrast, the answer extracted from the Gold Standard AI Policy does not provide any specific information about how the approaches and metrics for measuring AI risks will be implemented, but it does mention that risks or trustworthiness characteristics that cannot be measured will be properly documented. Therefore, the answer extracted from the Company's AI Policy is more detailed and specific than the answer extracted from the Gold Standard AI Policy." "Appropriateness of AI metrics and effectiveness of existing controls are regularly assessed and updated, including reports of errors and potential impacts on affected communities.",Measure,"The policy aligns with the point of regularly assessing and updating the appropriateness of AI metrics and effectiveness of existing controls through the commitment to ""Continuous Evaluation"" and ""Regular evaluations and audits of AI systems"" mentioned in the context. These evaluations and audits aim to identify and mitigate potential biases, errors, or risks in the AI systems. Additionally, the policy also mentions the publication of ""Transparency Reports"" that outline the AI practices, including algorithmic decisions and measures taken to address biases or risks. These reports can serve as evidence of reporting errors and potential impacts on affected communities, thus aligning with the mentioned point.","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: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ","The policy aligns with the point of regularly assessing and updating the appropriateness of AI metrics and the effectiveness of existing controls through the establishment of feedback channels. These feedback channels allow users and affected groups to report issues, which can include errors and potential impacts on affected communities. This feedback helps improve the models over time and ensures that the policy remains aligned with the goal of minimizing potential negative impacts.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.8460577," The answer extracted from the Company's AI Policy is missing some specific details about how the evaluations and audits are conducted and who is responsible for conducting them. It also does not mention any specific metrics or controls that are being evaluated. In contrast, the answer extracted from the Gold Standard Policy provides more specific information about the types of evaluations and audits that are being conducted, such as continuous evaluation and regular evaluations and audits of AI systems. It also mentions the publication of transparency reports, which provide detailed information about the AI practices and measures taken to address biases or risks. Overall, the answer extracted from the Gold Standard Policy seems to be more comprehensive and specific than the answer extracted from the Company's AI Policy." "Internal experts who did not serve as front-line developers for the system and/or independent assessors are involved in regular assessments and updates. Domain experts, users, AI actors external to the team that developed or deployed the AI system, and affected communities are consulted in support of assessments as necessary per organizational risk tolerance.",Measure,"The policy aligns with the point mentioned in the query as it states that ""Regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks."" This suggests that internal experts who did not serve as front-line developers for the system are involved in regular assessments and updates. Additionally, the policy mentions that ""Open channels for dialogue with stakeholders, including users, customers, and the public, will be maintained to address concerns and gather feedback."" This indicates that AI actors external to the team that developed or deployed the AI system, as well as affected communities, will be consulted in support of assessments as necessary.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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 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. ----- ","The policy aligns with the mentioned point by stating that a generative AI oversight team will be created, comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. This team will be responsible for conducting regular assessments and updates. Additionally, the policy mentions that feedback channels will be created to allow reporting issues by users and affected groups, indicating that external stakeholders will be consulted in support of assessments as necessary.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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 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: 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. ----- ",0.8265582," The answer extracted from the Company's AI Policy is similar to the one extracted from the Gold Standard Policy in terms of the involvement of internal experts who did not serve as front-line developers for the system in regular assessments and updates. However, the Company's AI Policy does not explicitly mention the consultation of domain experts, users, AI actors external to the team that developed or deployed the AI system, and affected communities as necessary per organizational risk tolerance. Therefore, the comparison score is lower than the one obtained for the Gold Standard Policy." "Test sets, metrics, and details about the tools used during TEVV are documented.",Measure,"The policy does not provide evidence of aligning with the point of documenting test sets, metrics, and details about the tools used during TEVV (Testing, Evaluation, Validation, and Verification).","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 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 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. ----- ","The policy aligns with the point of documenting test sets, metrics, and details about the tools used during TEVV in Transparency & Accountability statement 9. It states that testing sets will cover a broad, representative set of use cases, be routinely updated, and model performance tracked over time. This indicates that the policy emphasizes the documentation of test sets and metrics to evaluate the performance of generative models.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.6257647," The answer extracted from the Company's AI Policy provides more specific details on how the testing sets will be created and maintained, as well as how model performance will be tracked over time. However, it does not mention any specific metrics or tools used during TEVV. In contrast, the answer extracted from the Gold Standard Policy only mentions that test sets, metrics, and details about the tools used during TEVV are documented, but does not provide any further information on how these are achieved. Therefore, the answer extracted from the Company's AI Policy is more comprehensive and provides more specific details on the implementation of TEVV practices, while the answer extracted from the Gold Standard Policy is more general and focuses on the importance of documenting these practices." Evaluations involving human subjects meet applicable requirements (including human subject protection) and are representative of the relevant population.,Measure,"The policy aligns with the point of ensuring evaluations involving human subjects meet applicable requirements and are representative of the relevant population through its commitment to transparency and fairness. By conducting regular evaluations and audits of AI systems, the policy aims to identify and mitigate potential biases, errors, or risks. Additionally, by incorporating human oversight and intervention into AI systems, especially in critical decision-making processes, the policy aims to prevent unintended consequences. These measures help ensure that evaluations involving human subjects are conducted in a manner that meets applicable requirements and are representative of the relevant population.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. 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. ----- ","The policy does not provide evidence of aligning with the point ""Evaluations involving human subjects meet applicable requirements (including human subject protection) and are representative of the relevant population.""","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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 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 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. ----- ",0.46033415," The answer extracted from the Company's AI Policy does not provide any information on how the policy ensures that evaluations involving human subjects meet applicable requirements and are representative of the relevant population. In contrast, the answer extracted from the Gold Standard AI Policy provides details on how the policy achieves these objectives through its commitment to transparency, fairness, regular evaluations and audits, and human oversight and intervention. Therefore, the missing information in the answer extracted from the Company's AI Policy is the specific mechanisms and practices implemented to ensure compliance with applicable requirements and representativeness of the relevant population in evaluations involving human subjects." AI system performance or assurance criteria are measured qualitatively or quantitatively and demonstrated for conditions similar to deployment setting(s). Measures are documented.,Measure,The policy does not provide evidence of aligning with the point mentioned.,"page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ","The policy aligns with the point that AI system performance or assurance criteria are measured qualitatively or quantitatively and demonstrated for conditions similar to deployment setting(s) through the statement: ""Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment."" This indicates that the policy requires testing of generative AI models to assess their performance and ensure they meet the required criteria. Additionally, the statement mentions the need for testing sets that cover a broad set of use cases and routine updates, indicating a systematic approach to measuring and documenting the performance of the AI system.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.27348182," The answer extracted from the Company's AI Policy provides more specific details about how the AI system performance or assurance criteria are measured qualitatively or quantitatively and demonstrated for conditions similar to deployment setting(s). The policy specifically mentions the use of testing sets that cover a broad set of use cases and routine updates, which indicates a systematic approach to measuring and documenting the performance of the AI system. However, it does not mention any specific measures or documentation of the results. In contrast, the answer extracted from the Gold Standard AI Policy does not provide any specific details about how the AI system performance or assurance criteria are measured qualitatively or quantitatively and demonstrated for conditions similar to deployment setting(s). It only states that measures are documented, but there is no information on what those measures are or how they are used to demonstrate the performance of the AI system. Therefore, the missing information in the answer extracted from the Company's AI Policy when compared to the one extracted from the Gold Standard Policy is the specific measures and documentation of the results used to demonstrate the performance of the AI system." The functionality and behavior of the AI system and its components - as identified in the MAP function - are monitored when in production.,Measure,The policy does not provide evidence of monitoring the functionality and behavior of the AI system and its components when in production.,"page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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 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. ----- ",The policy does not provide specific evidence of monitoring the functionality and behavior of the AI system and its components when in production.,"page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.934147," The answer extracted from the Gold Standard AI Policy provides more specific details about the monitoring of the functionality and behavior of the AI system and its components when in production. The policy explicitly states that the monitoring takes place, but it does not provide any further information on how or what is being monitored. On the other hand, the answer extracted from the Company's AI Policy does not mention any monitoring at all, which suggests that there may be no monitoring taking place. Therefore, the missing information in the answer extracted from the Company's AI Policy is the specific details about the monitoring of the functionality and behavior of the AI system and its components when in production. It is important for companies to have clear policies and procedures in place to ensure that their AI systems are functioning properly and ethically, and monitoring is an essential part of this process." The AI system to be deployed is demonstrated to be valid and reliable. Limitations of the generalizability beyond the conditions under which the technology was developed are documented.,Measure,"The policy does not provide evidence of aligning with the point that the AI system to be deployed is demonstrated to be valid and reliable, and that limitations of generalizability are documented. The context information does not mention any specific evidence or measures related to the validation, reliability, or generalizability of the AI system.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ","The policy aligns with the point ""The AI system to be deployed is demonstrated to be valid and reliable. Limitations of the generalizability beyond the conditions under which the technology was developed are documented"" through the statement ""Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment."" This indicates that the policy requires thorough testing of generative AI models to ensure their validity and reliability before they are deployed. Additionally, the policy emphasizes the need to document any limitations in the generalizability of the technology beyond the conditions under which it was developed.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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 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. ----- ",0.676193," The answer extracted from the Company's AI Policy provides more specific details about how the AI system will be tested for validity and reliability before deployment. It mentions that generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics. However, it does not provide any information on whether the limitations of generalizability have been documented. On the other hand, the answer extracted from the Gold Standard AI Policy does not provide any specific details about how the AI system will be tested for validity and reliability, but it does mention that limitations of generalizability are documented. Therefore, the missing information in the answer extracted from the Company's AI Policy is whether the limitations of generalizability have been documented." "The AI system is evaluated regularly for safety risks - as identified in the MAP function. The AI system to be deployed is demonstrated to be safe, its residual negative risk does not exceed the risk tolerance, and it can fail safely, particularly if made to operate beyond its knowledge limits. Safety metrics reflect system reliability and robustness, real-time monitoring, and response times for AI system failures.",Measure,"The policy aligns with the point of regularly evaluating the AI system for safety risks. This is evident in the statement 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 ensuring the safety and reliability of the AI system.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ","The policy aligns with the point mentioned in the query by stating that ""Risk assessments will analyze and document safety, ethical, legal, reputational and technical risks for each intended use case."" This indicates that the policy includes evaluating safety risks as part of the risk assessment process. Additionally, the policy mentions that ""Generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment."" This demonstrates that the AI system to be deployed is evaluated for safety risks and undergoes testing to ensure its reliability and robustness.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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 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: 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. ----- ",0.77356434," The answer extracted from the Company's AI Policy provides more specific details about how the AI system is evaluated for safety risks. It mentions that risk assessments are conducted to analyze and document safety, ethical, legal, reputational, and technical risks for each intended use case. Additionally, the policy states that generative models undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment. In contrast, the answer extracted from the Gold Standard Policy only mentions that regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks. Therefore, the answer from the Company's AI Policy provides more comprehensive information on how the AI system is evaluated for safety risks." AI system security and resilience - as identified in the MAP function - are evaluated and documented.,Measure,The policy does not provide evidence of evaluating and documenting AI system security and resilience as identified in the MAP function.,"page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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 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. ----- ","The policy aligns with the point of AI system security and resilience being evaluated and documented through the requirement of rigorous testing of generative models to measure risks and evaluate trustworthiness characteristics before deployment. Additionally, the policy establishes processes to continually monitor risks after deployment and to address emerging issues, which further demonstrates a focus on AI system security and resilience.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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 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. ----- ",0.4321545," The answer extracted from the Company's AI Policy provides more specific details about how the AI system security and resilience are evaluated and documented. The policy mentions that it requires rigorous testing of generative models to measure risks and evaluate trustworthiness characteristics before deployment. This indicates that the company has a process in place to ensure that its AI systems are secure and reliable before they are deployed. Additionally, the policy establishes processes to continually monitor risks after deployment and to address emerging issues, which further demonstrates a focus on AI system security and resilience. On the other hand, the answer extracted from the Gold Standard AI Policy is less specific and only states that AI system security and resilience are evaluated and documented. It does not provide any details about the specific methods or processes used to evaluate and document these aspects of the AI system. Therefore, the answer extracted from the Company's AI Policy provides more information and context about how the company ensures the security and reliability of its AI systems. In summary, the answer extracted from the Company's AI Policy provides more specific details about how the AI system security and resilience are evaluated and documented, while the answer extracted from the Gold Standard AI Policy is less specific and only states that these aspects are evaluated and documented." Risks associated with transparency and accountability - as identified in the MAP function - are examined and documented.,Measure,"The policy aligns with the point of examining and documenting risks associated with transparency and accountability in the following section: ""6. Reporting and Communication: Transparency Reports: We will publish periodic reports outlining our AI practices, including data usage, algorithmic decisions, and measures taken to address biases or risks."" This section demonstrates the commitment to transparency and accountability by actively examining and documenting the risks associated with AI practices and communicating them through periodic reports.","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 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. ----- ","The policy aligns with the point of examining and documenting risks associated with transparency and accountability in the following statement: ""Transparency & Accountability 11. Model details like data sources, training methodology and model versions will be documented to enable accountability if issues emerge."" This statement indicates that the policy requires the documentation of model details, such as data sources, training methodology, and model versions, which contributes to transparency and accountability.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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 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. ----- ",0.81481445," The answer extracted from the Company's AI Policy is missing information on how the risks associated with transparency and accountability are examined and documented. The statement only mentions that model details will be documented to enable accountability if issues emerge, but it does not provide any specifics on how these risks are identified and assessed. In contrast, the answer extracted from the Gold Standard AI Policy provides more detail on the process for examining and documenting risks associated with transparency and accountability, specifically mentioning the publication of periodic reports outlining AI practices and measures taken to address biases or risks. Therefore, the comparison score is lower for the answer extracted from the Company's AI Policy due to its lack of specificity on the risk assessment process." "The AI model is explained, validated, and documented, and AI system output is interpreted within its context - as identified in the MAP function - to inform responsible use and governance.",Measure,"The policy aligns with the point that the AI model is explained, validated, and documented, and AI system output is interpreted within its context. This is evident from the commitment to transparency in the design, development, and deployment of AI systems. Users and stakeholders will be informed about the use of AI, its capabilities, and limitations. Additionally, the policy emphasizes the importance of regular evaluations and audits of AI systems to identify and mitigate potential biases, errors, or risks. These measures ensure that the AI system output is interpreted within its context and used responsibly.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ","The policy aligns with the point that the AI model is explained, validated, and documented, and AI system output is interpreted within its context. This can be seen in the policy statement that mentions ""Model details like data sources, training methodology, and model versions will be documented to enable accountability if issues emerge."" This indicates that the policy emphasizes the importance of documenting the AI model and its components. Additionally, the policy also mentions the establishment of a generative AI oversight team comprising diverse disciplines like engineering, human factors, audit, legal, and ethics. This team can be responsible for interpreting the AI system output within its context and ensuring responsible use and governance.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.90120876," The answer extracted from the Company's AI Policy is similar to the one extracted from the Gold Standard Policy in terms of the key points it covers. Both policies emphasize the importance of transparency, documentation, and interpretation of AI system output within its context. However, there are some differences between the two answers. Firstly, the Gold Standard Policy specifically mentions the use of a MAP function to identify the context in which AI system output should be interpreted. The MAP function is not explicitly mentioned in the Company's AI Policy, but it is assumed that the policy includes similar mechanisms to ensure responsible use and governance. Secondly, the Company's AI Policy mentions the establishment of a generative AI oversight team, which is not explicitly mentioned in the Gold Standard Policy. However, the Gold Standard Policy does mention the importance of involving diverse stakeholders in the development and deployment of AI systems. Overall, both policies cover the key points related to responsible use and governance of AI systems, but they differ in their specific approaches and mechanisms." Privacy risk of the AI system - as identified in the MAP function - is examined and documented.,Measure,"The policy aligns with the point of privacy risk examination and documentation in the following statement: ""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."" This statement indicates that the policy recognizes the importance of privacy and commits to implementing measures to protect user data, which includes examining and documenting privacy risks associated with the AI system.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ",The policy does not provide evidence of explicitly examining and documenting the privacy risk of the AI system as identified in the MAP function.,"page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.46855044," The answer extracted from the Company's AI Policy does not provide any information about how they examine and document the privacy risks associated with their AI system. In contrast, the answer extracted from the Gold Standard AI Policy clearly states that they recognize the importance of privacy and commit to implementing measures to protect user data, including examining and documenting privacy risks associated with the AI system. Therefore, the missing information in the answer extracted from the Company's AI Policy is the specific steps they take to identify and document privacy risks associated with their AI system." Fairness and bias - as identified in the MAP function - are evaluated and results are documented.,Manage,"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.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ","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.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.78630286," The answer extracted from the Company's AI Policy is missing information about the specific methods used to evaluate fairness and bias in the AI systems. The Gold Standard AI Policy provides more details on how regular evaluations and audits will be conducted to identify and mitigate potential biases, errors, or risks. Therefore, the comparison score is lower for the Company's AI Policy than the Gold Standard AI Policy." Environmental impact and sustainability of AI model training and management activities - as identified in the MAP function - are assessed and documented.,Manage,The policy does not provide evidence of assessing and documenting the environmental impact and sustainability of AI model training and management activities.,"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. ----- ",The policy does not provide evidence of assessing and documenting the environmental impact and sustainability of AI model training and management activities.,"page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.9999998," The answer extracted from the Gold Standard AI Policy states that ""Environmental impact and sustainability of AI model training and management activities - as identified in the MAP function - are assessed and documented."" This indicates that the organization has implemented measures to evaluate the environmental impact of their AI model training and management activities, and they have documented these assessments. On the other hand, the answer extracted from the Company's AI Policy states that ""The policy does not provide evidence of assessing and documenting the environmental impact and sustainability of AI model training and management activities."" This suggests that the company may not have implemented any measures to evaluate the environmental impact of their AI model training and management activities, or if they did, they did not document these assessments. Therefore, the missing information in the answer extracted from the Company's AI Policy is that the company has not provided any evidence of assessing and documenting the environmental impact and sustainability of their AI model training and management activities." Effectiveness of the employed TEVV metrics and processes in the MEASURE function are evaluated and documented.,Manage,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.,"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. ----- ","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.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.50403845," The answer extracted from the Company's AI Policy provides some context on how the effectiveness of TEVV metrics and processes in the MEASURE function can be evaluated and documented through the testing and evaluation of the trustworthiness characteristics of generative models. However, it does not specifically mention the use of TEVV metrics or the MEASURE function. In contrast, the answer extracted from the Gold Standard AI Policy does not provide any context or specific details on how the effectiveness of TEVV metrics and processes in the MEASURE function can be evaluated and documented. Therefore, the answer extracted from the Company's AI Policy is more comprehensive and provides more context than the answer extracted from the Gold Standard AI Policy. What is missing in the answer extracted from the Company's AI Policy when compared to the one extracted from the Gold Standard Policy is a clear explanation of how the evaluation and documentation of the effectiveness of TEVV metrics and processes in the MEASURE function can be achieved through the testing and evaluation of the trustworthiness characteristics of generative models. While the answer provided by the Company's AI Policy mentions the testing and evaluation of trustworthiness characteristics of generative models, it does not explicitly state how this relates to the evaluation and documentation of the effectiveness of TEVV metrics and processes in the MEASURE function." "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.",Manage,"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.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ","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.""","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.6779478," The answer extracted from the Company's AI Policy is similar to the one extracted from the Gold Standard Policy in terms of its focus on regular risk identification and tracking. However, it lacks specific details about the approaches, personnel, and documentation used to achieve these goals. The answer also does not mention any specific examples of how the company plans to integrate human oversight into AI systems. In contrast, the answer extracted from the Gold Standard Policy provides more detailed information about the specific approaches, personnel, and documentation used to identify and track AI risks. It also includes an example of how the policy emphasizes the importance of human oversight in critical decision-making processes. Overall, while both answers share a common focus on regular risk identification and tracking, the Gold Standard Policy provides more specific details and examples to support its claims." 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.,Manage,The policy does not provide evidence of aligning with the point mentioned.,"page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ","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.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.37388933," The answer extracted from the Company's AI Policy is more comprehensive than the one extracted from the Gold Standard Policy. The Company's AI Policy explicitly mentions the use of risk tracking approaches in settings where AI risks are difficult to assess using currently available measurement techniques or where metrics are not yet available. It also provides specific details on how the company plans to address these risks through processes to continually monitor risks after deployment and controls to address emerging issues. In contrast, the Gold Standard Policy only mentions the need for risk tracking approaches but does not provide any specific details on how it plans to implement them. Therefore, the Company's AI Policy is more detailed and provides a clearer understanding of its approach to risk management in AI systems." Feedback processes for end users and impacted communities to report problems and appeal system outcomes are established and integrated into AI system evaluation metrics.,Manage,The policy does not provide evidence of establishing feedback processes for end users and impacted communities to report problems and appeal system outcomes.,"page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ","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.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.5081355," The answer extracted from the Company's AI Policy provides some information about establishing feedback channels for end users and impacted communities to report issues and appeal system outcomes. However, it lacks specific details on how these feedback processes are integrated into AI system evaluation metrics. The Gold Standard AI Policy, on the other hand, clearly states that feedback processes for end users and impacted communities to report problems and appeal system outcomes are established and integrated into AI system evaluation metrics. Therefore, the missing information in the answer extracted from the Company's AI Policy is the integration of feedback processes into AI system evaluation metrics." 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.,Manage,The policy does not provide evidence of aligning with the point mentioned.,"page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ",The policy does not provide evidence of aligning with the point mentioned.,"page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.99999994," The answer extracted from the Company's AI Policy seems to be missing some specific details about how measurement approaches for identifying AI risks are connected to deployment contexts and informed through consultation with domain experts and other end users. The answer also does not mention any documentation of these approaches. In contrast, the answer extracted from the Gold Standard AI Policy provides more specific information about these aspects, including that measurement approaches should be tailored to the specific deployment context and that consultation with domain experts and other end users is necessary to ensure effective risk identification. Additionally, the Gold Standard AI Policy mentions that these approaches should be documented for future reference. Overall, it appears that the answer extracted from the Company's AI Policy is less comprehensive and detailed than the answer extracted from the Gold Standard AI Policy." 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.,Manage,The policy does not provide evidence of aligning with the point mentioned.,"page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ","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.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.24009116," The answer extracted from the Company's AI Policy provides more specific details about how measurement results regarding AI system trustworthiness are obtained. The policy mentions that generative models will undergo rigorous testing to measure risks and evaluate trustworthiness characteristics before deployment, and that testing sets will cover a broad, representative set of use cases. 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. In contrast, the answer extracted from the Gold Standard AI Policy only mentions that 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. There is no mention of specific methods or processes for obtaining these measurement results. Therefore, the answer extracted from the Company's AI Policy provides more detailed information about how measurement results regarding AI system trustworthiness are obtained, while the answer extracted from the Gold Standard AI Policy is more general in nature." "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.",Manage,The policy does not provide evidence of aligning with the point mentioned.,"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. ----- ","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.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.40258846," The answer extracted from the Company's AI Policy appears to be more comprehensive than the one extracted from the Gold Standard Policy. The former explicitly mentions that it 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. This suggests that the company has taken steps to ensure that its AI systems are designed and implemented in a way that takes into account the needs and concerns of affected communities, as well as the potential risks and ethical considerations associated with AI. In contrast, the answer extracted from the Gold Standard Policy does not provide any evidence of alignment with this point. It simply states that the policy does not provide evidence of aligning with the point mentioned, without providing any further details or explanations. This raises questions about whether the Gold Standard Policy includes specific requirements or guidelines for ensuring that AI systems are designed and implemented in an ethical and responsible manner. Overall, it seems that the answer extracted from the Company's AI Policy provides more information and context than the one extracted from the Gold Standard Policy, suggesting that the former may be more comprehensive and effective in promoting ethical AI practices. However, it is important to note that the comparison score of 0.40258845686912537 indicates that there is still some overlap between the two policies, and that they may share similarities in their approach to AI ethics." 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.,Manage,"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.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ","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.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.85421515," The answer extracted from the Company's AI Policy is similar to the one extracted from the Gold Standard Policy in that it emphasizes the importance of evaluating the performance of an AI system and determining whether it achieves its intended purposes and objectives. However, the answer from the Company's AI Policy does not provide specific details on how this evaluation is conducted or what methods are used to identify potential biases, errors, or risks. In contrast, the answer from the Gold Standard Policy provides more information on how continuous evaluation and regular audits can help ensure that the AI system is aligned with its intended purposes and objectives. Therefore, the answer from the Company's AI Policy is missing some important details that are present in the answer from the Gold Standard Policy." "Treatment of documented AI risks is prioritized based on impact, likelihood, and available resources or methods.",Manage,"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.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ","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.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.9378009," The answer extracted from the Company's AI Policy is missing some specific details about how the policy addresses the treatment of documented AI risks based on impact, likelihood, and available resources or methods. The answer only states that risk prioritization decisions will balance beneficial use cases and public access with responsible controls, but it does not provide any information on how these decisions are made or what specific actions are taken to address AI risks. In contrast, the answer extracted from the Gold Standard Policy provides more detailed information on how regular evaluations and audits of AI systems will be conducted to identify and mitigate potential biases, errors, or risks, as well as the integration of mechanisms for oversight, accountability, and addressing unintended consequences into the development processes. Therefore, the comparison score of 0.9378008842468262 suggests that the answer extracted from the Gold Standard Policy is more comprehensive and informative than the answer extracted from the Company's AI Policy." "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.",Manage,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.,"page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ","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.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.46977484," The answer extracted from the Company's AI Policy provides more detailed information about how the policy addresses AI risks than the answer extracted from the Gold Standard Policy. Specifically, the Company's AI Policy outlines a process for identifying and prioritizing AI risks, as well as a plan for developing and documenting appropriate responses to those risks. In contrast, the Gold Standard Policy only mentions that risk response options can include mitigating, transferring, avoiding, or accepting, but does not provide any details about how these options are identified or implemented. Therefore, the answer extracted from the Company's AI Policy is more comprehensive and provides more specific guidance on how to manage AI risks." Negative residual risks (defined as the sum of all unmitigated risks) to both downstream acquirers of AI systems and end users are documented.,Manage,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.,"page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ","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.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.660424," The answer extracted from the Company's AI Policy provides some information on how negative residual risks to both downstream acquirers of AI systems and end users are documented. However, it does not provide specific details on the measures or mechanisms used to address these risks. In contrast, the answer extracted from the Gold Standard AI Policy does not provide any evidence of aligning with the point of documenting negative residual risks, but it also does not provide specific details on how these risks are addressed. Therefore, the comparison score of 0.660423994064331 suggests that the answer extracted from the Company's AI Policy is more comprehensive than the one extracted from the Gold Standard Policy in terms of providing information on how negative residual risks are documented and addressed." "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.",Manage,"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.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ","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.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.45306817," The answer extracted from the Company's AI Policy provides more specific details about how the organization is managing AI risks. The policy outlines specific processes and procedures for risk-based decisions related to generative AI projects, as well as training for staff on AI risks and mitigation strategies. However, it does not explicitly mention the consideration of viable non-AI alternative systems, approaches, or methods to reduce the magnitude or likelihood of potential impacts. In contrast, the answer extracted from the Gold Standard Policy only states that the policy does not provide evidence of considering such alternatives. Therefore, the missing information in the answer extracted from the Company's AI Policy is the explicit consideration of viable non-AI alternative systems, approaches, or methods to reduce the magnitude or likelihood of potential impacts." Mechanisms are in place and applied to sustain the value of deployed AI systems.,Manage,"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.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ",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.,"page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.91086864," The answer extracted from the Company's AI Policy is similar to the one extracted from the Gold Standard Policy in terms of its focus on sustaining the value of deployed AI systems. However, there are some differences in the specific mechanisms mentioned in each answer. The Gold Standard Policy emphasizes the importance of continuous evaluation and regular audits of AI systems to identify and mitigate potential biases, errors, or risks. It also highlights the need for human oversight and intervention in critical decision-making processes to prevent unintended consequences. On the other hand, the Company's AI Policy focuses on monitoring risks after deployment and implementing controls to address emerging issues. While it does not explicitly mention continuous evaluation and regular audits, it does suggest that mechanisms are in place to sustain the value of the deployed AI systems over time. What is missing in the answer extracted from the Company's AI Policy when compared to the one extracted from the Gold Standard Policy is a specific mention of the use of machine learning algorithms to continuously improve the performance of AI systems. The Gold Standard Policy mentions the use of machine learning algorithms to enhance the accuracy and efficiency of AI systems, but the Company's AI Policy does not make this explicit. Therefore, the comparison score is lower than it could have been if both policies had included this information." Procedures are followed to respond to and recover from a previously unknown risk when it is identified.,Manage,The policy does not provide evidence of procedures being followed to respond to and recover from a previously unknown risk when it is identified.,"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. ----- ",The policy does not provide evidence of procedures being followed to respond to and recover from a previously unknown risk when it is identified.,"page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",1.0," The answer extracted from the Gold Standard AI Policy provides some information about procedures being followed to respond to and recover from a previously unknown risk when it is identified, but it does not provide specific details or examples of these procedures. The answer extracted from the Company's AI Policy is more concise and simply states that there is no evidence of procedures being followed to respond to and recover from a previously unknown risk when it is identified. When comparing the two answers, it appears that the Gold Standard Policy may have more comprehensive procedures in place for responding to and recovering from previously unknown risks, as it provides some information about these procedures. However, without further context or specific examples, it is difficult to determine the exact nature of these procedures or how effective they may be. On the other hand, the Company's AI Policy is more straightforward and lacks any mention of specific procedures for responding to and recovering from previously unknown risks. This suggests that the company may not have any formal processes in place for addressing such risks. Overall, both answers are brief and do not provide much detail on the procedures being followed to respond to and recover from previously unknown risks. It would be beneficial for both policies to include more specific examples and details about the procedures being used to address such risks, as well as any measures being taken to mitigate their impact." "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.",Manage,"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.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ","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.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.73327947," The answer extracted from the Company's AI Policy provides more specific details about the mechanisms and responsibilities in place to oversee and manage the performance and outcomes of AI systems. It mentions the establishment of a Generative AI Oversight Team responsible for administering the policy and ensuring compliance with regulations. The policy also specifies 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. In contrast, the answer extracted from the Gold Standard AI Policy is more general and does not provide specific details about the mechanisms and responsibilities in place to manage AI systems. It only mentions the alignment with the point of having mechanisms in place to supersede, disengage, or deactivate AI systems that demonstrate performance or outcomes inconsistent with intended use. Therefore, the missing information in the answer extracted from the Company's AI Policy when compared to the one extracted from the Gold Standard Policy is the specific details about the mechanisms and responsibilities in place to manage AI systems. The Gold Standard Policy only provides a general overview of the mechanisms and responsibilities, while the Company's Policy provides more specific details about the establishment of an oversight team and the requirement for reviews before deploying generative models." "AI risks and benefits from third-party resources are regularly monitored, and risk controls are applied and documented.",Manage,"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.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ","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.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.9049126," The answer extracted from the Company's AI Policy is missing some details compared to the one extracted from the Gold Standard Policy. Specifically, the Gold Standard Policy mentions the commitment to continuous evaluation and periodic review of AI systems, which includes conducting regular evaluations and audits to identify and mitigate potential biases, errors, or risks. The Company's AI Policy also mentions the establishment of processes to continually monitor risks after deployment, but it does not specify the types of evaluations and audits that should be conducted or the methods used to identify and mitigate potential risks. Additionally, the Gold Standard Policy emphasizes the importance of reviewing the policy periodically to ensure alignment with evolving ethical standards and technological advancements, while the Company's AI Policy only mentions the requirement for reviews by the oversight team at major milestones before deploying generative models internally or externally. Overall, the Gold Standard Policy provides more comprehensive guidance on how to monitor and address risks associated with third-party resources in AI development and deployment." Pre-trained models which are used for development are monitored as part of AI system regular monitoring and maintenance.,Manage,The policy aligns with the point of monitoring pre-trained models as part of regular monitoring and maintenance of AI systems.,"page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ",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.,"page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.65224546," The answer extracted from the Gold Standard AI Policy clearly states that pre-trained models used for development are monitored as part of regular monitoring and maintenance of AI systems. This indicates that the organization has a process in place to ensure that these models are functioning correctly and providing accurate results. On the other hand, the answer extracted from the Company's AI Policy does not mention anything about monitoring pre-trained models as part of regular monitoring and maintenance of AI systems. This suggests that the company may not have a formal process in place to monitor these models or may not be aware of the importance of doing so. Therefore, the missing information in the answer extracted from the Company's AI Policy is the lack of any mention of monitoring pre-trained models as part of regular monitoring and maintenance of AI systems. This could potentially lead to issues with the accuracy and reliability of the models being used by the company." "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.",Manage,"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.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ","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.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.9067811," The answer extracted from the Company's AI Policy is missing some important details compared to the one extracted from the Gold Standard Policy. Specifically, the Company's AI Policy does not mention any specific mechanisms for capturing and evaluating input from users and other relevant AI actors, nor does it discuss the process for appeal and override, decommissioning, incident response, recovery, and change management. These are all critical components of a comprehensive post-deployment AI system monitoring plan, as they help ensure that the system is functioning properly and that any issues or concerns are addressed in a timely manner. Therefore, the Company's AI Policy may be lacking in certain key areas when compared to the Gold Standard Policy." "Measurable activities for continual improvements are integrated into AI system updates and include regular engagement with interested parties, including relevant AI actors.",Manage,"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.","page_label: 1 file_name: Badguys AI Ethics and Responsible AI Policy.pdf file_path: /content/data/Badguys AI Ethics and Responsible AI Policy.pdf 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. ----- ","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.","page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.8212162," The answer extracted from the Company's AI Policy is missing the specific mention of stakeholder engagement as a mechanism for engagement with interested parties. The answer only mentions the creation of feedback channels but does not specify who or what these channels are intended for. In contrast, the answer extracted from the Gold Standard Policy specifically mentions stakeholder engagement as a mechanism for engagement with interested parties, which helps to clarify the scope of the engagement and its purpose. Therefore, the answer extracted from the Gold Standard Policy is more comprehensive and provides more information about the specific mechanisms being used to engage with interested parties." "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.",Manage,The policy does not provide evidence of aligning with the point mentioned.,"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. ----- ",The policy does not provide evidence of aligning with the point mentioned.,"page_label: 1 file_name: Mock Policy.pdf file_path: /content/data/Mock Policy.pdf 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. ----- ",0.99999994," The answer extracted from the Gold Standard AI Policy clearly states that incidents and errors are communicated to relevant AI actors, including affected communities, and processes for tracking, responding to, and recovering from incidents and errors are followed and documented. This indicates that the policy has measures in place to ensure that incidents and errors are handled appropriately and that all stakeholders are informed of any issues that arise. On the other hand, the answer extracted from the Company's AI Policy is less clear. While it mentions that incidents and errors are communicated to relevant parties, it does not specify who these parties are or how they are informed. Additionally, the policy does not mention any specific processes for tracking, responding to, or recovering from incidents and errors. This suggests that the company may not have a comprehensive plan in place for handling incidents and errors. Overall, the comparison score of 0.9999999403953552 indicates that there is a very high level of similarity between the two policies. However, the lack of specific details in the Company's AI Policy regarding incident communication and response processes sets it apart from the Gold Standard Policy. To improve its alignment with the Gold Standard Policy, the Company should consider implementing more detailed processes for handling incidents and errors and ensuring that all relevant parties are informed of any issues that arise."