Episode 65 — Manage Reputation Risk from AI: Trust Events, Public Response, and Recovery (Domain 1)
Reputation is an intangible yet critical asset that can be shattered by a single visible AI failure, making its management a key focus of Domain 1. This episode explores the concept of "trust events"—incidents where AI behavior contradicts public expectations or corporate values—and how to plan for a rapid, transparent response. For the AAIR exam, candidates must understand the link between technical failures, such as biased outputs, and the resulting erosion of customer and investor confidence. We discuss the importance of having a pre-vetted communications plan that involves legal, PR, and technical experts to explain the "why" behind an incident without oversharing proprietary secrets. Recovery involves not just fixing the technical error, but demonstrating a long-term commitment to responsible AI through third-party audits or public transparency reports. By proactively managing reputation risk, organizations can build a "trust surplus" that helps them navigate the inevitable challenges of deploying experimental technologies in the public eye. 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.
