AI Ethics: Bias, Fairness, Accountability, Transparency, Societal Impact, Governance, Privacy, and Security
Bias, Fairness, Accountability, Transparency, Societal Impact, Governance, Privacy, and Security
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39 chapters
~81 hours total
304 pages
1
Front Matter
6 chapters2
Part 1: Foundations
7 chapters- Part 1: Foundations — Why AI Ethics Matters and How to Think About It
- Chapter 1: What Is AI Ethics? Framing the Challenge
- Chapter 2: A Brief History of AI and Its Ethical Concerns
- Chapter 3: Ethical Frameworks for AI Decision-Making
- Chapter 4: Stakeholders in the AI Ecosystem
- Chapter 5: The Business Case for Ethical AI
- Chapter 6: Introduction to AI Governance
3
Part 2: Bias and Fairness
7 chapters- Part 2: Bias and Fairness — The Most Documented Problem in Applied AI Ethics
- Chapter 7: Understanding Algorithmic Bias
- Chapter 8: Sources of Bias in Data and Models
- Chapter 9: Measuring Fairness — Metrics and Trade-offs
- Chapter 10: Bias in Hiring and HR Systems
- Chapter 11: Bias in Financial Services and Credit
- Chapter 12: Bias in Healthcare AI
4
Part 3: Transparency and Explainability
6 chapters5
Part 4: Accountability and Responsibility
6 chapters6
Part 5: Privacy and Security
6 chapters7
Part 6: Societal Impact and Governance
8 chapters- Part 6: Societal Impact and Governance — AI at the Scale of Society
- Chapter 28: AI and Employment — Disruption and Opportunity
- Chapter 29: AI and Democratic Processes
- Chapter 30: AI in Criminal Justice Systems
- Chapter 31: The Environmental Cost of AI
- Chapter 32: Global AI Governance Frameworks
- Chapter 33: Regulation and Compliance — GDPR, EU AI Act, and Beyond
- Chapter 34: AI Ethics in Emerging Markets
8
Part 7: Emerging Issues and Special Topics
6 chapters- Part 7: Emerging Issues — At the Frontier of AI Ethics
- Chapter 35: Generative AI Ethics
- Chapter 36: AI in Healthcare Decision-Making
- Chapter 37: Autonomous Weapons and Military AI
- Chapter 38: AI Consciousness, Rights, and Moral Status
- Chapter 39: The Future of AI Ethics: Anticipating Tomorrow's Challenges
9
Part 8: Capstone Projects
4 chapters10
Appendices
13 chapters- Appendix A: Glossary of Key Terms
- Appendix B: Answers to Selected Exercises
- Appendix C: Bibliography
- Appendix A: Research Methods Primer
- Appendix B: Key Studies Summary
- Appendix C: Primary Source Anthology
- Appendix D: Historical Timeline of AI Ethics
- Appendix E: Argument Maps
- Appendix F: Templates and Worksheets
- Appendix G: Quick Reference Cards
- Appendix H: Resource Directory
- Appendix I: Frequently Asked Questions
- Appendix B: Python Reference for AI Fairness Auditing
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