Episode 10 — Apply ethical principles when AI outcomes create real business risk (Task 3)
This episode teaches how to apply ethical principles in a way that reduces real business risk, aligning with Task 3 and showing up in questions where the correct answer prioritizes harm reduction, transparency, accountability, and privacy alongside security controls. You’ll define core ethical concerns—bias, unfair outcomes, unsafe automation, misuse, and overcollection—and connect them to governance actions like setting acceptable use boundaries, requiring human oversight for high-impact decisions, and validating models against safety and failure modes. We’ll work through scenarios such as an AI screening tool that produces inconsistent outcomes, a customer chatbot that leaks sensitive data, and an internal assistant that confidently generates incorrect instructions, explaining what “ethical” means operationally: measurable requirements, monitoring signals, escalation triggers, and documentation that stands up to scrutiny. You’ll learn to choose exam answers that treat ethics as controllable risk, not as abstract 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.
