Fairness Investigator

This worksheet helps students in Grades 6, 7, and 8 develop critical thinking, ethical reasoning, and evidence-based writing skills by analyzing real-world-inspired AI fairness scenarios. Students examine two case studies involving unfair AI decision-making in scholarship selection and predictive policing, then assign a fairness score, justify their evaluation, and propose meaningful improvements to each system using clear reasoning and ethical principles.

Learning Goals

• Equity and Fairness Analysis (Grades 6-8) – Students examine how AI systems can produce unequal outcomes.
• Evaluating Real-World Scenarios – Learners analyze consequences, stakeholders, and impacts of automated decisions.
• Justification and Reasoning Skills – Students support fairness scores with logical, text-based explanations.
• Understanding Predictive Systems – Students explore how prediction-based AI tools influence real-life decisions.

Instructional Benefits

• Teacher-Created Resource – Designed by educators with age-appropriate, realistic case studies.
• Low-Prep and Discussion-Ready – Ideal for independent reflection, small groups, or whole-class debate.
• Structured Ethical Framework – Fairness scoring helps students organize complex ethical judgments.
• Supports Diverse Learners – Guided prompts scaffold reasoning and written explanations.
• Cross-Curricular Alignment – Integrates social studies, English Language Arts, and technology literacy standards.

This printable worksheet helps students think deeply about fairness, responsibility, and the societal impact of AI systems. By evaluating real-world cases, justifying decisions, and proposing improvements, learners build strong ethical awareness, analytical reasoning, and communication skills. Suitable for classroom or homeschool use, this activity supports informed, thoughtful discussion about equity and technology in modern society.

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