Module 8 Overview#
Theme#
Responsible AI policy portfolio
Essential Question#
What evidence shows a system is governable?
Module Components#
Book prose: conceptual framing, domain scenario, methods, and failure modesAssignment: evidence-backed production of a specific artifactSlides: presentation sequence for seminar or lecture deliveryNarration: spoken version of the slide flowInstructor notes: facilitation plan, discussion prompts, and grading cuesRubric: criteria for evaluating the module artifactNotebook: executable lab aligned with the module theme using synthetic governance case facts including affected groups, data rights, transparency controls, and harm scenarios
Module Artifact#
responsible AI review memo with risk register, policy analysis, and redress plan focused on responsible ai policy portfolio: Assemble a policy brief and risk acceptance memo.
Professional Setting#
Students work as if advising an AI governance board reviewing a proposed high-impact AI deployment. Their work must be intelligible to governance chair, legal counsel, affected-user advocate, product owner, and compliance officer.