Episode 5 — Define AI Governance Roles and Clarify Who Owns Which Decisions

This episode focuses on one of the most common governance failures in both exam scenarios and real organizations: unclear ownership. You will learn how AI governance depends on defined roles for business leaders, legal teams, privacy professionals, security teams, data stewards, model developers, product owners, procurement staff, audit functions, and senior decision-makers. The key point is that responsibility is not the same as authority, and accountability is not the same as day-to-day execution. A team may build a model, another team may validate it, and a different leader may approve deployment based on enterprise risk tolerance and legal obligations. The episode explains how decision rights should be assigned across intake, design, testing, approval, monitoring, incident handling, and retirement so that issues do not drift between teams. On the exam, role confusion is often the hidden problem behind a broken process, and in real environments it leads to delays, unreviewed changes, and avoidable compliance gaps. Clear governance maps reduce friction because people know who decides, who advises, and who must document the outcome. Produced by BareMetalCyber.com, where you’ll find more cyber audio courses, books, and information to strengthen your educational path. Also, if you want to stay up to date with the latest news, visit DailyCyber.News for a newsletter you can use, and a daily podcast you can commute with. And dont forget Cyberauthor.me for the companion study guide and flash cards!