Impacts of Computing and AI · Impacts of Computing

Algorithmic Bias and Fairness

Investigating how human prejudices can be encoded into automated systems.

Key Questions

  1. 1How does biased training data lead to unfair outcomes in AI systems?
  2. 2Who should be held responsible when an algorithm makes a harmful decision?
  3. 3How can we design systems that actively mitigate human prejudice?

Common Core State Standards

CSTA: 3A-IC-24CSTA: 3A-IC-25
Grade: 10th Grade
Subject: Computer Science
Unit: Impacts of Computing and AI
Period: Impacts of Computing

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