AI Governance & Risk Lead
Set the rules for safe AI use and check that people follow them.
AI inventory and risk tiers, policies, standards and controls, laws and frameworks, privacy and intellectual property, fairness and transparency, vendor risk, assurance, incidents and regulators. Ends with interview practice.
10 lessons · about 3.1 hours
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What governance means, why it matters now, what the role produces and who you work with.
Find every AI system, record it and sort it into clear risk tiers.
Write a short policy, standards under it and controls you can test.
The EU AI Act, privacy law, NIST AI RMF and ISO/IEC 42001, and how to turn them into controls.
Personal data and IP risks with AI, and the practical controls that reduce them.
Where bias comes from, a simple fairness check, honest transparency and the documents that create accountability.
Assess AI vendors with a standard question set, contract points and ongoing review.
Prove that controls work, make human oversight real and prepare for audits.
Governance's role in incidents, reporting duties, public communication and learning from near misses.
Common questions with strong answers, a method for cases and a portfolio that proves your skill.