Grade 5: Evaluating AI, Data, and Human Decision-Making

Evaluating AI, Data, and Human Decision-Making

Approximate Total Time: 5–6 class periods (approximately 45–60 minutes each, including Career Spotlight)

Recommended for Ages 10–11 (typically U.S. Grade 5)

About This Unit

Students evaluate when, why, and whether to use AI. They examine how AI generates outputs and how data quality can affect reliability, fairness, and accuracy.

Through discussions and real-world examples, students consider when to trust AI, when human judgment should take priority, and why people remain responsible for how AI is designed and used. The unit concludes with an introduction to AI safety and efforts to make AI systems safer and fairer.

Lessons

1. Should This Task Use AI?
Students evaluate different tasks to determine when AI is an appropriate tool and when human judgment should take priority.

2. How Data Shapes Outcomes
Students investigate how datasets influence AI predictions and recommendations and how different or incomplete data can produce different outcomes.

3. Why AI Sounds Confident
Students examine why AI can produce confident-sounding responses that are inaccurate and practice distinguishing confidence from correctness.

4. Bias vs. Errors
Students distinguish between individual AI errors and repeated patterns of bias and investigate how different causes require different responses.

5. AI as a Tool, Not a Boss
Students evaluate when people should accept, question, verify, or override AI recommendations and consider the importance of human-centered decision-making.

Career Spotlight: Joy Buolamwini and AI Safety Research
Students explore AI safety research and investigate how researchers identify unfair outcomes and work to make AI systems safer and fairer.