# Module 1 Overview

## Theme

Ethical theories for AI decisions

## Essential Question

Which ethical lenses reveal different AI risks?

## 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 ethical theories for ai decisions: Analyze a case with consequentialist, deontological, and justice frames.

## 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.