Noise in the Data

Students explore how “noise”-misspellings, contradictions, or confusing details-can cause AI systems to misunderstand or misinterpret input text. For each scenario, learners choose the best explanation of how an AI might misinterpret the information. The examples illustrate issues such as outdated facts, conflicting sentences, and ambiguous wording. This activity strengthens comprehension of how data quality affects AI accuracy and helps students develop skills in recognizing unclear or inconsistent information.

Curriculum Matched Skills

English Language Arts – Reading Comprehension and Interpretation

Technology Literacy – Data Quality and AI Behavior

Critical Thinking – Recognizing Ambiguity and Contradictions

Science and Technology – Understanding Information Processing

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