Episode 13 — Perform AI impact assessments with scope, evidence, and actionable results (Task 8)
This episode teaches you how to perform an AI impact assessment that produces actionable results rather than a generic narrative, aligning directly to Task 8 and preparing you for questions that test whether you can define scope, gather evidence, and recommend controls with clear ownership. You’ll learn to set boundaries first—what system, what users, what decisions, what data flows, and what lifecycle stage—then collect evidence such as data classifications, model behavior testing, access patterns, vendor commitments, and monitoring plans. We’ll walk through a practical scenario where a business wants to launch an AI assistant with access to internal knowledge bases, and you’ll identify the impact areas that matter most: confidentiality of prompts and outputs, integrity of generated guidance, availability dependencies, privacy obligations, and safety failure modes like hallucinations or harmful responses. You’ll also learn how to document findings in a way that drives decisions, including accept, mitigate, transfer, or stop. 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.
