Data Soup Bias Hunt

This worksheet challenges students to analyze three datasets and identify potential biases caused by imbalanced or unrepresentative data. Students answer questions about whose voices are missing, what perspectives are overrepresented, and how datasets could be rebalanced to create fairer AI outcomes. The activity builds awareness of bias in AI systems and encourages thoughtful consideration of diverse viewpoints. Students develop analytical reasoning as they examine how training data influences real-world predictions and fairness. This worksheet supports ethical thinking and strengthens understanding of inclusive data practices.

Curriculum Matched Skills

Technology Literacy – Identifying Bias in AI Data

Critical Thinking – Evaluating Representation and Fairness

English Language Arts – Responding to Analytical Questions

Social Studies – Understanding Equity and Diverse Perspectives

This worksheet is part of our AI Data Labeling Game Worksheets collection.