Module 3 Narration

Module 3 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 Knowledge representation and reasoning 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 knowledge representation and reasoning: Encode a domain model and test simple logical queries against it.. Students should leave knowing exactly what artifact they are producing and how it will be judged.