Fairness, Accountability, and Impact — Capstone

4-5 weeks

Societal Impact

Overview

In this capstone unit, students investigate real-world AI systems and their societal impacts. They learn structured frameworks for ethical reasoning about AI, analyze case studies of biased or problematic AI, and work in teams to propose improvements or alternative approaches. This unit bridges technical understanding with humanities, encouraging students to think like designers, ethicists, and citizens.

Learning Objectives

1
Identify and analyze bias in AI systems and understand its sources
2
Apply a structured ethical framework to evaluate AI systems
3
Understand the concept of algorithmic accountability and who is responsible when AI systems cause harm
4
Propose and justify design changes to make AI systems more fair and beneficial

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