AI Governance & Responsible AI by SN Teo

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AI Governance & Responsible AI

An executive-level e-learning course on governing AI responsibly across strategy, risk, ethics, data, oversight, and organisational implementation. The structure draws on international frameworks with particular reference to Singapore guidance, NIST AI RMF, ISO/IEC 42001 concepts, and the EU AI Act.

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What's inside: 69 chapters

1. AI Governance & Responsible AI
2. Course Objectives
3. Skills and Knowledge
4. 1. Introduction
5. 1.1. Welcome
6. 2. Foundations of AI Governance
7. 2.1. What Is AI Governance?
8. 2.2. Why Governance Matters
9. 2.3. Roles and Accountability
10. 2.4. Maturity and Gap Analysis
11. 2.5. Unit 1 Quiz
12. 3. Responsible AI Principles
13. 3.1. What Is Responsible AI?
14. 3.2. From Principle to Practice
15. 3.3. Ethical Dilemmas
16. 3.4. Responsible Innovation
17. 3.5. Principles Statement Workshop
18. 3.6. Unit 2 Quiz
19. 4. Bias, Fairness, and Decisions
20. 4.1. Where Bias Enters AI
21. Look Broadly
22. Look Beyond Intent
23. Practical Executive Lens
24. 4.2. Fairness in Business
25. Fairness in Business
26. 4.3. Recruitment Case Study
27. Recruitment Case Study
28. 4.4. Oversight and Challenge Rights
29. Oversight and Challenge Rights
30. 4.5. Fairness Assessment
31. Fairness Assessment
32. 4.6. Unit 3 Quiz
33. Unit 3 Quiz
34. 5. Data, Privacy, Security, and Confidentiality
35. 5.1. Data and AI Decisions
36. 5.2. What Goes Into AI?
37. 5.3. Generative AI Security Risks
38. 5.4. Shadow AI in Practice
39. 5.5. Data Risk Checklist
40. 5.6. Unit 4 Quiz
41. 6. Transparency, Explainability, and Oversight
42. 6.1. Transparency Duties
43. 6.2. Explainability That Matters
44. 6.3. Human Oversight Models
45. 6.4. Risk-Based Oversight Matrix
46. 6.5. Oversight Exercise
47. 6.6. Unit 5 Quiz
48. 7. AI Risk Management
49. 7.3. NIST AI RMF
50. 7.4. Building a Risk Register
51. 7.5. Continuous Monitoring
52. 7.6. Unit 6 Quiz
53. 8. Generative and Agentic AI Governance
54. 8.1. From Generative to Agentic
55. 8.2. Why Agents Change Governance
56. 8.3. Bounding Agent Powers
57. 8.4. Control Architecture
58. 8.5. Agent Governance Case
59. 8.6. Unit 7 Quiz
60. 9. Building the Governance Framework
61. 9.1. Governance Architecture
62. 9.2. AI Inventory and Risk Tiers
63. 9.3. Approval Workflow
64. 9.4. Incident Management
65. 9.5. International Frameworks
66. 9.6. Implementation Roadmap
67. 9.7. Capstone Framework Project
68. 9.8. Unit 8 Quiz
69. 10. Summary

About this book

"AI Governance & Responsible AI" is a general book by SN Teo with 69 chapters and approximately 26,462 words. It covers key insights and practical takeaways on the topic.

This book was created using Inkfluence AI, an AI-powered book generation platform that helps authors write, design, and publish complete books.

Frequently Asked Questions

What is "AI Governance & Responsible AI" about?

"AI Governance & Responsible AI" is a general book by SN Teo covering key insights and practical takeaways on the topic.

How many chapters are in "AI Governance & Responsible AI"?

The book contains 69 chapters and approximately 26,462 words. Topics covered include AI Governance & Responsible AI, Course Objectives, Skills and Knowledge, 1. Introduction, and more.

Who wrote "AI Governance & Responsible AI"?

This book was written by SN Teo and created using Inkfluence AI, an AI book generation platform that helps authors write, design, and publish books.