Week 3 Assignment: Bias Case Study Analysis

Tue, 05 May 2026 00:00:00 +0000

Due: End of Week 3 | Format: Written analysis | Length: 600-800 words

📝 Assignment Overview

Select a real-world case of algorithmic bias and conduct a deep analysis of what went wrong, why, and what could have been done differently.

Choose one of these cases or propose your own:

Address each section:

Tue, 05 May 2026 00:00:00 +0000

Focus: Algorithmic bias and fairness

“Weapons of Math Destruction” — Chapter 1 (30 min)
- How algorithms can amplify inequality
- Case studies of biased AI systems
- The impact on vulnerable communities
“Defining and Detecting Algorithmic Bias” (25 min)
- Statistical definitions of fairness
- Types of bias: historical, measurement, representation, evaluation
- Methods for detecting and mitigating bias

Read about a real-world case of algorithmic bias (e.g., Amazon hiring, COMPAS, facial recognition)
Prepare a 2-minute summary: What went wrong? Who was harmed?
Brainstorm: How could that system have been designed more fairly?

See Week 3 Assignment for this week’s task.