AI Ethics: Bias, Fairness, Accountability, Transparency, Societal Impact, Governance, Privacy, and Security
Bias, Fairness, Accountability, Transparency, Societal Impact, Governance, Privacy, and Security
Start Reading →
39 chapters
~82 hours total
303 sections
1
Front Matter
5 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
Explore Related Books
More open-access textbooks from our library
Advanced COBOL 40 chapters · ~67h Advanced Data Science 39 chapters · ~57h AI Literacy 21 chapters · ~27h AI & ML for Business 40 chapters · ~80h AI Engineering 40 chapters · ~53h Algorithmic Addiction 40 chapters · ~71h American Government 40 chapters · ~77h Applied Psychology 40 chapters · ~52h Assembly Language 40 chapters · ~27h Blockchain & Crypto 40 chapters · ~68h Calculus 40 chapters · ~51h Automotive Sales 40 chapters · ~73h College Football Analytics 28 chapters · ~18h Creator Economy 41 chapters · ~57h Pattern Recognition 43 chapters · ~92h Cybersecurity 40 chapters · ~84h Digital Forensics 40 chapters · ~69h Data & Society 40 chapters · ~72h Data Viz with Python 35 chapters · ~52h Discrete Mathematics 40 chapters · ~75h Ethical Hacking 41 chapters · ~58h Fandom 44 chapters · ~70h Forensic Science 40 chapters · ~74h Grant Writing 35 chapters · ~36h History of Appalachia 42 chapters · ~69h How Humans Get Stuck 40 chapters · ~36h Handling Confrontation 40 chapters · ~80h How to Learn Anything 38 chapters · ~54h How Your House Works 40 chapters · ~66h IBM DB2 37 chapters · ~53h Insurance Underwriting 40 chapters · ~71h Intermediate COBOL 54 chapters · ~44h Intermediate Data Science 36 chapters · ~39h Intro CS Python 27 chapters · ~28h Intro to Data Science 36 chapters · ~55h Introductory Economics 40 chapters · ~28h Introductory Statistics 28 chapters · ~48h Learning COBOL 42 chapters · ~64h Prediction Markets 42 chapters · ~60h Linear Algebra 40 chapters · ~60h Metacognition 28 chapters · ~52h Media Literacy 41 chapters · ~80h Music Production 40 chapters · ~84h NFL Analytics 28 chapters · ~16h Nuclear Physics 35 chapters · ~60h Organic Chemistry 40 chapters · ~43h Pascal Programming 40 chapters · ~43h Photography 40 chapters · ~85h Physics of Music 48 chapters · ~75h Political Analytics 41 chapters · ~67h Popular Psychology 40 chapters · ~21h Practical Philosophy 38 chapters · ~63h Basketball Analytics 31 chapters · ~30h Soccer Analytics 30 chapters · ~43h Propaganda 40 chapters · ~80h Python for Business 40 chapters · ~40h Quantum Mechanics 40 chapters · ~66h RegTech 40 chapters · ~59h The Science of Cooking 40 chapters · ~70h Science of Seduction 45 chapters · ~60h Sports Betting 42 chapters · ~63h Database Fundamentals 40 chapters · ~34h Technical Writing 40 chapters · ~70h Architecture of Surveillance 40 chapters · ~54h Science of Luck 40 chapters · ~72h Eastern Cultures 40 chapters · ~47h Western Culture 40 chapters · ~30h Vibe Coding 42 chapters · ~58h Video Game Design 40 chapters · ~77h Why They Watch 40 chapters · ~48h Working with AI 42 chapters · ~58h