Recommended Prerequisites:
- Foundational knowledge of Artificial Intelligence and Machine Learning concepts.
- Awareness of social, cultural, and political impacts of AI adoption.
- Understanding of professional ethics, including honesty, integrity, and accountability.
- Experience with real-world AI case studies that highlight ethical dilemmas.
- Ability to assess and make informed, ethical decisions in deploying AI systems.
- Familiarity with relevant laws, industry regulations, and governance frameworks for AI technologies.
Course Outline:
Lesson 1: Overview of AI Ethics & Societal Impact
- 1.1 Introduction to Ethical Considerations in AI
- 1.2 Understanding The Societal Impact of AI Technologies
- 1.3 Strategies for Conducting Social and Ethical Impact Assessments
Lesson 2: Bias and Fairness in AI
- 2.1 Exploration of Biases in Data and Algorithms
- 2.2 Strategies for Mitigating Bias and Ensuring Fairness in AI Systems
Lesson 3: Transparency and Explainable AI
- 3.1 Importance of Transparent AI Systems
- 3.2 Techniques for Explaining AI Models to Diverse Stakeholders
- 3.3 Guided Projects on Designing and Analysis of AI Systems with Ethical Considerations
Lesson 4: Privacy and Security Issues in AI
- 4.1 Study frameworks for holding organizations accountable for the ethical use of AI.
- 4.2 Why it matters: Ensures ethical AI deployment and helps mitigate the consequences of potential misuse or harm.
Lesson 5: Accountability and Responsibility
- 5.1 Concepts of Accountability in AI Development and Deployment
- 5.2 Responsibilities of AI Practitioners and Organizations
Lesson 6: Legal and Regulatory Issues
- 6.1 Overview of Relevant Laws and Regulations Pertaining to AI
- 6.2 Understanding the Global Regulatory Issues for AI Technologies
- 6.3 Case Studies: GDPR Compliance
- 6.4 Legal Compliance of AI Tools
Lesson 7: Ethical Decision-Making Frameworks
- 7.1 Introduction to Frameworks for Making Ethical Decisions in AI
- 7.2 Case Studies and Applications of Ethical Decision-Making
- 7.3 Use of Simulation Platforms in Ethical Decision-Making
Lesson 8: AI Governance & Best Practices
- 8.1 Principles and Functions of International AI Governance
- 8.2 Best Practices for Integrating AI Ethics into Organizational Policies
- 8.3 Case Studies on AI Governance
Lesson 9: Global AI Ethics Standards
- 9.1 Explore Standards: IEEE’s Ethically Aligned Design
- 9.2 Comparative Case Studies on Standard Implementations
- 9.3 Tools for Evaluating AI Systems Against Global Standards
Optional Lesson: AI Agents for Ethics and Its Implications
- Understanding AI Agents
- Case Studies
- Hands-On Practice with AI Agents
