AI Ethics and GovernanceCourse

Responsible AI / 5 weeks

AI Ethics and Governance

Teaches leaders how to make AI decisions that are fair, accountable, transparent, and lawful, with controls and reviews proportional to risk.

Learning path

Six modules with practical application.

  1. Fairness, accountability, transparency, privacy, safety, and how each becomes a concrete design constraint
  2. Measuring performance and outcome differences across groups and deciding what is acceptable for the decision the AI supports
  3. Model cards, data cards, decision logs, and the documentation a regulator or customer would actually accept
  4. Lawful basis, minimization, purpose limitation, consent, and the data ethics questions a strong AI program must answer
  5. Risk tiers, review forums, model risk management, and the rhythms that catch problems before they ship
  6. How to explain AI decisions to customers, employees, regulators, and the public in a way that holds up under scrutiny

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