Episode 7 — Define AI roles and responsibilities so decisions are owned and clear (Task 1)
This episode focuses on clarifying AI roles and responsibilities so accountability is explicit, which is a frequent AAISM decision point because strong governance requires named owners for risk acceptance, control operation, and evidence production. You’ll define typical role categories—business owner, model owner, data owner, security, privacy, risk, legal, and operations—and learn how to express decision rights so “who approves what” is not implied or assumed. We’ll work through scenarios like deploying a new model feature, responding to a vendor security update, and handling user access to sensitive prompts, highlighting how unclear ownership leads to gaps in monitoring, delayed incident response, and weak audit posture. On the exam, the best answer often establishes or uses the correct ownership pathway before implementing technical changes, and this episode trains you to recognize that pattern quickly. 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.
