Impacts of Computing and AI · Impacts of Computing
Algorithmic Bias and Fairness
Investigating how human prejudices can be encoded into automated systems.
Key Questions
- 1How does biased training data lead to unfair outcomes in AI systems?
- 2Who should be held responsible when an algorithm makes a harmful decision?
- 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
Suggested Methodologies
Ready to teach this topic?
Generate a complete, classroom-ready active learning mission in seconds.