Error Classification

Students study AI-generated responses and classify each one according to a specific error category: Bias, Lack of Context, Outdated Knowledge, or Reasoning Error. They must justify their classifications by explaining why the output fits the chosen error type. This encourages careful reading, logic evaluation, and understanding of how different types of mistakes arise. The worksheet develops students’ ability to analyze AI outputs critically and recognize distinct patterns of incorrect reasoning.

Curriculum Matched Skills

English Language Arts – Classification and Justification

Critical Thinking – Identifying Error Types

Technology Literacy – Understanding AI Mistake Categories

Social Studies – Media and Information Literacy

This worksheet is part of our Why Do AI Models Make Mistakes collection.