AI bias and fairness are introduced through a Grade 6 Computer Science worksheet that helps students connect training data with the results an artificial intelligence system produces. Students examine how incomplete or unbalanced data can influence AI decisions, then use the vocabulary bias, fairness, data, and result to explain what they observe. :contentReference[oaicite:0]{index=0}

Explore how data shapes AI results

The lesson moves beyond simply defining artificial intelligence. Students consider what fairness means when an AI system makes decisions, how patterns in training data affect what the system learns, and how to recognize outcomes that appear unfair or inconsistent. This makes the resource useful for introducing responsible AI concepts alongside foundational artificial intelligence instruction.

Student practice includes

• Multiple-choice questions that check key concepts and vocabulary
• True-false statements for reviewing ideas about bias and fairness
• Short-answer prompts that require students to explain AI behavior
• A dialogue activity that places AI fairness ideas in context
• A matching task connecting concepts and meanings
• A cloze passage reinforcing important terminology
• A labeled diagram showing relationships within an AI system
• A reading passage focused on how data shapes results
• An essay prompt for extended explanation and reasoning

Support for the teacher

A separate Teacher Guide is included with learning objectives, teaching tips, discussion questions, and common mistakes. These materials can help structure the lesson, prompt classroom conversation, and address misunderstandings about how AI systems use data.

Flexible classroom use

Use the worksheet after an introductory lesson on artificial intelligence, during independent practice, as homework, or as a review activity. The combination of selected-response, reading, diagram, vocabulary, and written-response tasks gives students several ways to show what they know without relying on a single question format.

For teachers introducing bias in AI systems, this resource keeps the focus on concrete Grade 6 ideas: training data, learned patterns, unequal outcomes, fairness, and evidence of inconsistent AI behavior. Students are asked not only to recognize these concepts but also to describe how data can affect an AI result using appropriate Computer Science vocabulary.