Association of Southeast Asian Nations: ASEAN Guide on AI Governance and Ethics (2024)

1. 03 D. National-level Recommendations
2. 06 E. Regional-level Recommendations
3. 1. Objectives
4. 08 F. Conclusion
5. 2. Assumptions
6. 3. Target Audience
7. 09 Annex A: AI Risk Impact Assessment Template 60
8. 4. Definitions
9. 09 Annex B: Use Cases
10. 5. Privacy and Data Governance
11. 6. Accountability and Integrity
12. 7. Robustness and Reliability
13. 1. Internal governance structures and measures
14. 2. Determining the level of human involvement
15. 3. Operations management
16. 4. Stakeholder interaction and communication
17. 1. Transparency and Explainability
18. 2. Fairness and Equity
19. 3. Security and Safety
20. 4. Human-centricity
21. 4 Key Components
22. 4 European Commission “Ethics Guidelines for Trustworthy AI”
23. 7 TechTarget, “data protection impact assessment (DPIA) (July 2023)
24. 10 GSM Association, “The AI Ethics Playbook” (2022)
25. 2. Determining the level of human involvement in AI-augmented decision-making
26. 12 National Institute of Standards and Technology, “NIST AI RMF Playbook”
27. 18 Google, “Face Detection Model Card v0”
28. 19 Salesforce, “Salesforce Einstein Model Cards”
29. 21 Salesforce, “Welcome to OmniXAI’s documentation!” (2022)
30. 22 SHAP, “Welcome to the SHAP documentation” (2018)
31. 23 C3.ai, “What is Local Interpretable Model-Agnostic Explanations (LIME)”
32. 26 AI Verify Foundation, “What is AI Verify?” (2023)
33. Annex A: AI Risk Impact
34. Annex A: AI Risk Impact Assessment Template
35. 1. Objectives of deploying AI
36. 2. Internal governance structures and measures
37. 3. Internal
38. 3. Determining the level of human involvement in AI-augmented decision-making
39. 4. Operations management
40. 33 Infocomm Media Development Authority, “Trusted Data Sharing Framework” (2019)
41. 35 Infocomm Media Development Authority, “Trusted Data Sharing Framework” (2019)
42. 5. Stakeholder Interaction and Communication
43. Annex B: Use Cases

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