When Labels Go Wrong

Students read a passage that explains how incorrect labels can cause AI systems to become confused, misinterpret information, or make unsafe predictions. Through multiple-choice questions, learners identify the passage’s main idea, analyze consequences of misplaced data labels, and interpret examples. The activity teaches students how even small mistakes in training data can escalate into real problems in AI behavior. By focusing on mislabeling scenarios, the worksheet builds awareness of accuracy, consistency, and reliability in AI datasets. Students strengthen reading comprehension while exploring the importance of high-quality human input.

Curriculum Matched Skills

English Language Arts – Identifying Main Ideas and Supporting Details

Technology Literacy – Understanding the Impact of Data Quality

Critical Thinking – Evaluating Consequences of Errors

Informational Text Analysis – Drawing Logical Conclusions

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