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