Episode 75 — Build human oversight triggers for AI decisions that need escalation (Domain 2D)
This episode teaches you how to build human oversight triggers that route the right AI decisions to review and escalation, because Domain 2D frequently tests whether you can define oversight that is targeted, timely, and defensible. You’ll learn how to decide what should trigger review, including low-confidence outputs, policy exceptions, high-impact outcomes, novel situations outside training conditions, and decisions that affect protected or vulnerable groups. We’ll cover how to express triggers as measurable rules, such as thresholds, anomaly detection flags, segmentation-based checks, and event-based triggers tied to complaint volume or incident indicators. You’ll also learn what evidence auditors expect, including documented trigger logic, assigned reviewer roles, training and guidance for reviewers, and records showing how escalations were handled and what corrective actions followed. By the end, you should be able to choose AAIA answers that match oversight intensity to risk and prove escalation is real, not symbolic. 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.
