Episode 11 — Write Practical AI Policies: What Is Allowed, Restricted, and Prohibited (Domain 1)
Drafting effective AI policies is a core requirement for Domain 1, as it provides the enforceable framework for organizational behavior. This episode explores the three-tier approach to policy development: identifying allowed use cases that promote innovation, restricted uses that require specific governance approvals, and prohibited activities that violate legal or ethical boundaries. For the AAIR exam, candidates must understand how to translate high-level risk appetite into clear, actionable policy statements that employees can follow. We discuss the importance of defining "permitted" generative AI tools to prevent data leakage and the necessity of prohibiting high-stakes autonomous decisions without human oversight. Best practices include establishing a policy review cycle to keep pace with rapid technological shifts and ensuring that consequences for non-compliance are clearly articulated. By creating this structured guidance, organizations can mitigate the risk of accidental misuse while providing a clear path for safe AI experimentation and deployment. 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.
