Video narration
When a vendor says, "We're compliant," you still have to ask: backed by what evidence? If an AI decision causes harm, accountability does not disappear behind the model. Someone still has to answer. This course turns that uncertainty into a path. First, use the AI Act to assess an AI system's real risk level before deciding which controls and obligations apply. Then apply the GDPR to AI: check the legal grounds for processing and minimize the data you collect. Next, examine where algorithmic bias comes from and structure an audit around three concrete axes. Those findings lead into AI governance: defining committees, roles, and processes. Your final project brings regulatory analysis, bias analysis, and governance design together in one deliverable, leading to certification. Gain confidence to challenge unsupported vendor claims and judge what stands up under regulatory scrutiny. Learn to govern AI with accountability. Start the course.