AIBIGA
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Course 02 · Core

AI Governance, Risk, Ethics and Regulatory Compliance

A rigorous treatment of the frameworks, regulations and controls that govern AI: NIST AI RMF, ISO/IEC 42001 and 23894, the EU AI Act, OECD Principles and data-protection law.

Learning outcomes

  • ◆Classify AI systems under the EU AI Act risk tiers
  • ◆Operate an AI risk register and model inventory aligned to NIST AI RMF
  • ◆Design an ISO/IEC 42001-style AI management system
  • ◆Run an AI impact assessment and incident response exercise

14-week syllabus

  1. Week 1Why AI governance: harms, trust and accountability
  2. Week 2OECD AI Principles and global policy landscape
  3. Week 3NIST AI RMF: Govern, Map, Measure, Manage
  4. Week 4ISO/IEC 42001 AI management systems
  5. Week 5ISO/IEC 23894 AI risk management
  6. Week 6EU AI Act: risk classes, obligations and timelines
  7. Week 7Privacy and data protection: GDPR, US and other regimes
  8. Week 8Midterm examination
  9. Week 9Bias evaluation, explainability and model validation
  10. Week 10Third-party and vendor risk
  11. Week 11Intellectual property, copyright and licensing
  12. Week 12Audit trails, recordkeeping and incident reporting
  13. Week 13Governance committees and enterprise policy
  14. Week 14Capstone: governance programme design and final examination