Data Bias Investigation

This worksheet helps students in Grades 6, 7, and 8 strengthen data literacy, critical thinking, and ethical reasoning by examining how biased datasets can influence AI decisions. Students analyze a fictional company dataset used to train an AI hiring tool, interpret percentages and notes about employee groups, and consider how imbalanced data might lead to unfair or inaccurate outcomes.

Learning Goals

• Interpreting Data Tables (Grades 6-8) – Students read and analyze percentages, categories, and patterns within a dataset.
• Identifying Dataset Bias – Learners recognize how missing representation or uneven data can skew AI results.
• Evaluating Algorithmic Fairness – Students connect biased data to potential unfair AI hiring decisions.
• Ethical Reasoning Skills – Students suggest ways to improve data balance and reduce bias.

Instructional Benefits

• Teacher-Created Resource – Designed by educators with clear tables, realistic scenarios, and student-friendly explanations.
• Low-Prep and Engaging – Ready for independent work, group discussion, or technology and ethics units.
• Mixed Question Types – Combines multiple-choice and open-ended responses to reinforce comprehension and reasoning.
• Supports Diverse Learners – Structured questions guide students step by step through data analysis.
• Cross-Curricular Alignment – Integrates math/data literacy with technology education and social studies ethics.

This printable worksheet helps students understand that AI decisions are only as fair as the data behind them. Through data interpretation, analysis, and reflection, learners build strong quantitative reasoning, digital-literacy, and ethical-thinking skills. Suitable for classroom or homeschool use, this activity supports informed evaluation of AI systems and responsible understanding of how real-world data shapes technology.

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