Solving AI’s Confusing Crimes

This worksheet helps students in Grades 6, 7, and 8 strengthen critical thinking, reading analysis, and technology literacy skills by investigating how AI systems fail when data is labeled incorrectly. Learners examine three engaging “case files” in which labeling mistakes lead to faulty predictions or unsafe outcomes, then respond to guided questions that trace errors from cause to consequence.

Learning Goals

• Error Analysis & Consequences (Grades 6-8) – Identifying how specific labeling mistakes impact AI behavior
• Technology Literacy – Understanding how mislabeling leads to inaccurate or harmful AI outcomes
• Cause-and-Effect Reasoning – Tracing how small data errors create larger system failures
• Constructed Response Writing – Explaining problems and proposing solutions using clear evidence

Instructional Benefits

• Teacher-Created Resource – Designed to align with ELA writing and AI literacy standards
• Case File Format – Engages students through investigation-style problem solving
• Guided Analysis Questions – Supports structured reasoning and deeper understanding
• Problem-Solving Focus – Encourages students to propose realistic fixes to labeling errors
• Low-Prep Format – Ready to print and use in classrooms or homeschool settings

This printable worksheet helps students think like investigators as they uncover how incorrect data labels can derail AI systems. By analyzing mistakes, consequences, and solutions, learners build strong reasoning, writing, and problem-solving skills while gaining insight into responsible AI development. It is a practical resource for classroom and homeschool instruction focused on accuracy, accountability, and understanding how data quality shapes AI performance.

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