Module 7 Narration#
Opening#
Open with the professional setting: an AI governance board reviewing a proposed high-impact AI deployment. Ask students what decision is being made, who is affected, and what evidence would be persuasive to a skeptical reviewer.
Middle#
Move through the module in four passes:
Define Incident response and redress in the context of AI Ethics, Law & Policy.
Walk through the lab as a proxy-data exercise, emphasizing what it can and cannot show.
Compare a baseline with an AI-enabled or more sophisticated alternative.
Translate the result into stakeholder language: recommendation, risk, mitigation, and next evidence.
Closing#
Close by returning to the module artifact: responsible AI review memo with risk register, policy analysis, and redress plan focused on incident response and redress: Design an incident intake, escalation, and remedy process.. Students should leave knowing exactly what artifact they are producing and how it will be judged.