Fairness Investigator

Students evaluate two case studies describing AI systems that make unfair decisions in scholarship selection and predictive policing. For each case, learners assign a fairness score, justify their rating, and propose one change that would improve the system. This activity invites thoughtful reflection on equity, responsibility, and the societal impact of AI. It builds students’ understanding of fairness frameworks and real-world implications of biased systems.

Curriculum Matched Skills

Social Studies – Equity and Fairness in Technology

Critical Thinking – Evaluating Real-World Scenarios

English Language Arts – Justification and Reasoning

Technology Literacy – Understanding Predictive Systems

This worksheet is part of our Role of Bias in AI collection.