Articulating Residual Risk in Adaptive AI: Clear residual risk statements for adaptive algorithms

Struggling to state residual risk for adaptive algorithms in regulator-ready, plain English? By the end of this lesson, you’ll draft clear, bounded residual risk statements that expose adaptation mode, quantify likelihood and severity per your risk matrix, and specify clinician actions. You’ll move through a concise framework, mapped failure modes and controls, a reusable three-part template, and targeted exercises with real-world examples to lock it in.