Episode 5 — Recognize Where AI Goes Wrong: Errors, Bias, Drift, and Misuse Risks (Domain 3)
Domain 3 focuses on the specific failure modes of AI systems, requiring candidates to recognize and mitigate a wide array of technical and operational risks. This episode explores the critical concepts of model drift, where performance degrades as real-world data evolves away from the training set, and algorithmic bias, which can lead to discriminatory outcomes. We also address the risks of hallucinations in generative models and the potential for intentional misuse by internal or external actors. For the AAIR exam, it is vital to understand not only what these errors are but how to detect them through rigorous monitoring and testing protocols. We provide scenarios involving financial forecasting and automated hiring to demonstrate how these risks manifest and the potential fallout for the organization. Recognizing these patterns early allows risk managers to implement proactive guardrails rather than reacting after a failure has caused significant harm. 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.
