Episode 77 — Test AI solutions for accuracy, robustness, bias, and safety (Domain 2E)
This episode explains how to test AI solutions across four dimensions—accuracy, robustness, bias, and safety—because Domain 2E questions often require you to choose a test plan that reflects real operational risk. You’ll learn how accuracy testing confirms objective performance, robustness testing checks stability under noise and edge cases, bias testing evaluates unequal outcomes and proxy effects, and safety testing looks for harmful behaviors and failure modes that matter to stakeholders. We’ll cover how to document tests so they are auditable, including defined criteria, representative datasets, controlled scenarios, and repeatable methods that can be rerun after changes. You’ll also learn common exam traps, such as relying on a single metric, testing only in ideal lab conditions, or claiming safety is handled by policy without evidence. By the end, you should be able to select exam answers that build a balanced, evidence-driven testing approach tied to the use case and its decision impact. 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.
