Episode 38 — Plan Training and Testing Across Unit, Integration, Validation, Performance, Security, and Bias
This episode introduces a fuller view of AI assurance by showing how training and testing should span multiple layers rather than focusing on a single accuracy score. You will learn how unit testing checks specific components, how integration testing evaluates how the system behaves within a broader workflow, how validation confirms that the system meets defined requirements, and how performance, security, and bias testing reveal different categories of weakness that may not appear in headline metrics. For the AIGP exam, this matters because good governance requires a testing plan that matches the system’s purpose, risk profile, and deployment setting. The episode also explains why a system can perform well in isolation but still fail when connected to real users, operational data, adversarial inputs, or populations not represented well during development. In practice, broad testing helps teams identify technical, legal, and ethical concerns before release and makes it easier to justify decisions about launch readiness, limitations, and required controls. 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. And dont forget Cyberauthor.me for the companion study guide and flash cards!
