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 modes

  • Assignment: evidence-backed production of a specific artifact

  • Slides: presentation sequence for seminar or lecture delivery

  • Narration: spoken version of the slide flow

  • Instructor notes: facilitation plan, discussion prompts, and grading cues

  • Rubric: criteria for evaluating the module artifact

  • Notebook: 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.