Ethics in IT (ITE302c)
Vietnamese title: Đạo đức trong CNTT
Credits: 3

Description:
Organizations and governments are seeking out ethics professionals to minimize risk and guide their decision-making about the design of inclusive, responsible, and trusted technology. An algorithm not designed and assessed in alignment with ethical standards can create further inequity across race, gender and marginalized populations. The reputational and financial impact of an ethics violation can devastate a company. Knowledgeable ethics leaders are needed who can navigate through the more than 160 frameworks and guidelines to select and implement the best strategy to promote fairness and minimize risk for their organization. This specialization is designed for learners who want to create and lead initiatives that prioritize ethical integrity within emerging data-driven technology fields such as artificial intelligence and data science and will be prepared to bridge the gap between theory and practice.

Learning outcomes:
Apply ethical principles, frameworks, regulations, and standards utilized in data-driven technologies and analyze the challenges that may compromise their implementation.
Detect and mitigate ethical risks in the design, development, and deployment of data-driven technologies.
Communicate effectively with diverse stakeholders about ethical safeguards, ethical risks, and mitigation strategies
Create, implement, and evaluate the organizational policies and governance structure required for ethical data-driven technologies.

Student tasks:
Student must get the following certificatations to be accepted to the final examination:
- Certification of CertNexus Certified Ethical Emerging Technologist Professional Certificate (CertNexus) specialization
- Certification of Ethics of Artificial Intelligence course

Tools:
- Internet

Materials:
description: https://learner.coursera.help/hc/en-us/articles/208280036-Coursera-Code-of-Conduct
publisher: Coursera
description: https://www.coursera.org/learn/promote-ethical-data-driven-technologies
publisher: Coursera
note: MOOC 1: Promote the Ethical Use of Data-Driven Technologies
description: https://www.coursera.org/learn/ethical-frameworks-action
publisher: Coursera
note: MOOC 2: Turn Ethical Frameworks into Actionable Steps
description: https://www.coursera.org/learn/detect-mitigate-ethical-risks
publisher: Coursera
note: MOOC 3: Detect and Mitigate Ethical Risks
description: https://www.coursera.org/learn/ethical-communication-data-driven-technologies
publisher: Coursera
note: MOOC 4: Communicate Effectively about Ethical Challenges in Data-Driven Technologies
description: https://www.coursera.org/learn/ethical-data-driven-technology-leader
publisher: Coursera
note: MOOC 5: Create and Lead an Ethical Data-Driven Organization
description: https://www.coursera.org/learn/preparing-for-your-certnexus-certification-exam
publisher: Coursera
note: MOOC 6: Preparing for Your CertNexus Certification Exam
description: https://www.coursera.org/specializations/certified-ethical-emerging-technologist
publisher: Coursera
note: SPEC: CertNexus Certified Ethical Emerging Technologist Professional Certificate
description: Additional Learning: https://www.coursera.org/learn/ethics-of-artificial-intelligence
publisher: Coursera
note: MOOC 7: Ethics of Artificial Intelligence

Assessments:
category: TE
type: Final exam
weight: 100.0
duration: 60'
no_question: Computer gradable
knowledge_and_skill: 60
grading_guide: All studied courses. Each module of course contributes 2-3 questions.
note: by Exam Board

Schedule:
session: Specialization Introduction
Promote the Ethical Use of Data-Driven Technologies
- Identify Data-Driven Emerging Technologies
- Examine Legal and Ethical Privacy Concepts as they Relate to Data-Driven Technology
Offline 1: Introduction to the online course ITE302c
session: - Examine Types of Bias
- Examine Common Ethical Theories
- Examine Ethical Principles that Apply to Data-Driven Technology
session: - Apply What You've Learned
session: Turn Ethical Frameworks into Actionable Steps
- Apply Frameworks to Your Ethical Responsibilities for Data-Driven Technologies
- Apply an Ethical Frameork to Navigate an Ethically Challenging Dilemma
- Follow Regulations and Standards That Have an Impact on Business Strategy
- Reconcile Conflicts Between Ethics, Regulations, Societal Needs, and Business Demands
session: - Apply What You've Learned
session: Detect and Mitigate Ethical Risks
- Ethical Risk Analysis Fundamentals
- Manage Privacy Risks
- Manage Accountability Risks
session: - Manage Transparency and Explainability Risks
- Manage Fairness and Non-Discrimination Risks
- Manage Safety and Security Risks
session: - Apply What You've Learned
session: Communicate Effectively about Ethical Challenges in Data-Driven Technologies
- Communicate the Business Impacts of Ethical Risks to Diverse Stakeholders
- Design Diverse, Equitable, and Inclusive External Communication Strategies
- Manage a Crisis, Communicate Critical Messages, and Ensure Business Continuity
- Manage the Media During an Ethical Crisis
session: - Apply What You’ve Learned
Create and Lead an Ethical Data-Driven Organization
- Promote an Ethical Organizational Culture
- Maintain Ethical Considerations in Governance and Policy Making
session: - Develop and Deploy a Code of Ethics
- Develop and Deploy Ethical Organizational Policies
- Apply What You've Learned
session: Preparing for Your CertNexus Certification Exam
Additional Learning: Ethics of Artificial Intelligence
- Ethics, AI and Fesponsibility
- Case studies, Examples and Ethical Frameworks
- Issues and challenges
- Goverance and policies
Offline 2: Review CertNexus Certified Ethical Emerging Technologist Professional Certificate