Episode 12 — Plan AI impact assessments early so compliance is not an afterthought (Task 8)
This episode explains why impact assessments must be planned early, not bolted on after deployment, and it targets Task 8 by showing how AAISM expects you to integrate assessment timing into intake, design, and governance checkpoints. You’ll define what an AI impact assessment is in practice: a structured evaluation of intended use, stakeholders affected, data sensitivity, legal and ethical concerns, and operational controls across the lifecycle, producing a record that can support leadership decisions and external scrutiny. We’ll use examples like adding a new data source to training, enabling retention of user prompts, and expanding an AI feature into a regulated market to illustrate when an early assessment prevents rework and reduces legal exposure. Exam-wise, you’ll practice recognizing “too late” signals—missing approvals, undocumented scope, or unclear owners—and choosing actions that re-establish governance before proceeding. 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.
