AI Governance Basics: Who Is Accountable When AI Gets It Wrong

AI Governance, Risk & Compliance Track · Certified AI Governance Associate

This is the entry point to the governance track and the prerequisite for the courses that follow. It answers the question most organisations get wrong: when an AI system produces a harmful, unfair or unlawful outcome, who is actually answerable, and what were they supposed to have done beforehand? Learners build a working vocabulary — data fiduciary, deployer, developer, risk classification, human oversight — and learn to read India's principle-based approach against the rule-based approach taken in the EU. The course deliberately separates what is legally binding from what is voluntary guidance, because conflating the two is the single most common error in AI governance conversations.