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Artificial Intelligence Beginner

AI Ethics Tutorial

Learn the fundamentals of Responsible AI. Explore algorithmic bias, transparency, explainability, deepfakes, global regulations, and the ethical engineering practices necessary to build safe Artificial Intelligence systems.

20 chapters 7h 10m 4.6 (187)
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What you'll learn

  • Introduction to AI Ethics
  • Principles of Responsible AI
  • The Black Box Problem
  • Algorithmic Bias
  • Fairness in AI
  • AI Transparency and Explainability
  • AI Privacy and Data Protection
  • Security Risks in AI Systems

Course content

20 chapters Β· 7h 10m
  1. 1 Introduction to AI Ethics 10 min
  2. 2 Principles of Responsible AI 15 min
  3. 3 The Black Box Problem 15 min
  4. 4 Algorithmic Bias 20 min
  5. 5 Fairness in AI 20 min
  6. 6 AI Transparency and Explainability 25 min
  7. 7 AI Privacy and Data Protection 20 min
  8. 8 Security Risks in AI Systems 25 min
  9. 9 Ethical Challenges in Generative AI 20 min
  10. 10 AI Hallucinations and Misinformation 25 min
  11. 11 Accountability and Human Oversight 20 min
  12. 12 AI in Healthcare and Ethical Concerns 25 min
  13. 13 AI in Hiring, Finance, and Law Enforcement 20 min
  14. 14 AI and Intellectual Property Rights 20 min
  15. 15 AI Regulations and Global Policies 25 min
  16. 16 Building Ethical AI Systems 20 min
  17. 17 Responsible Prompt Engineering and AI Usage 35 min
  18. 18 Future Challenges in AI Ethics 20 min
  19. 19 Real-World AI Ethics Case Studies 20 min
  20. 20 AI Ethics Interview Questions and Practice Challenges 30 min