Episode 10 — Apply ethical principles when AI outcomes create real business risk (Task 3)
This episode teaches how ethical principles become practical security requirements when AI decisions can cause harm, legal exposure, or reputational damage, which is a recurring theme in AAISM scenarios. You will define ethical risk in operational terms, such as unfair outcomes, unsafe recommendations, privacy violations, and deceptive behavior, and learn how to turn those concerns into controls like approval gates, monitoring triggers, and human oversight. We use scenarios like customer-facing automation, hiring assistance, and model-driven recommendations to show how to evaluate outcomes, document rationale, and choose mitigations that hold up under scrutiny. You will also learn how the exam differentiates “ethical intent” from “ethical execution,” emphasizing evidence, measurable checks, and accountability over statements of values. 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.
