AI Ethics and Governance
For engineers, data scientists and product owners who build or approve AI systems that make decisions about people. You will learn to measure and reduce bias, explain model decisions, check a system against the EU AI Act, privacy law such as GDPR and India's DPDP Act, and frameworks such as the NIST AI RMF, and run a bias audit whose findings someone can act on.
Course Content
Where bias gets into an AI system, how to measure it and reduce it, and how to see which features a model's decisions actually depend on.
What the law and the main governance frameworks require of an AI system, and how to turn those requirements into checks a team actually runs.
A hands-on bias audit of a lending model, from a test set with planted biases to written findings a decision-maker can act on.