A practical, business-oriented course on governing AI responsibly and complying with the emerging rules — built toward the body of knowledge behind AI-governance credentials (e.g., IAPP AIGP). It covers what AI governance is and why it surged; the EU AI Act in depth (risk tiers, prohibited practices, high-risk obligations, GPAI and transparency rules, timelines, penalties, and extraterritorial reach); global frameworks (NIST AI RMF, ISO/IEC 42001, OECD principles, and the US/UK patchwork); risk and impact assessments (DPIA, FRIA, conformity assessment) and the documentation that evidences them (model cards, datasheets); responsible AI in practice (fairness and bias mitigation, transparency and explainability, privacy/GDPR, human oversight, robustness); and how to operationalize a governance program (roles, AI inventory, use-case intake, third-party AI, monitoring, incident response, and audit). Every domain has plain-language lessons, concept tables, apply-it exercises, knowledge checks, a randomized mastery check, a full-length mock, and a spaced-repetition flashcard deck. Vendor-neutral. Not legal advice. Free.
0.00 USD
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