Episode 59 — Build Strong AI Risk Narratives: Scenario Thinking Without Guesswork (Domain 1)
AI risk narratives are essential for making abstract technical threats understandable to business leaders, but they must be based on evidence rather than speculation. This episode teaches you how to construct realistic, data-driven risk scenarios that illustrate the potential business impact of an AI failure. For the AAIR exam, candidates should know how to use "scenario thinking" to explore "what if" situations, such as a localized model failure escalating into a global service outage or a subtle bias causing a major class-action lawsuit. We discuss the importance of including the specific triggers, the technical path of the failure, and the ultimate financial or reputational consequences. Best practices involve collaborating with subject matter experts across the organization to ensure the narratives are grounded in technical reality. By developing these structured narratives, risk professionals can move beyond generic warnings and provide leadership with a clear, compelling reason to invest in specific AI controls and governance structures. 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.
