# Module 7 Narration

## Opening

Open with the professional setting: an AI review team evaluating a proposed applied AI system before pilot 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:

1. Define **Responsible AI and governance basics** in the context of Foundations of Artificial Intelligence.
2. Walk through the lab as a proxy-data exercise, emphasizing what it can and cannot show.
3. Compare a baseline with an AI-enabled or more sophisticated alternative.
4. Translate the result into stakeholder language: recommendation, risk, mitigation, and next evidence.

## Closing

Close by returning to the module artifact: **AI system review package with architecture, evidence, limitations, and deployment recommendation focused on responsible ai and governance basics: Draft a lightweight risk register for the running project.**. Students should leave knowing exactly what artifact they are producing and how it will be judged.