
Explore how AI face detection can make mistakes through false positives, false negatives and face sensing tests.
This Year 6–8 artificial intelligence lesson helps students understand that AI systems can make mistakes. Students learn about false positives and false negatives, then apply this thinking to face detection and face recognition scenarios.
Students consider how different errors can affect people, rank mistakes by their impact, and test a face detection project to see whether it can be fooled. This lesson is ideal for discussing AI accuracy, bias, fairness, limitations, and responsible technology use.
This resource supports AI literacy, face detection, face recognition, false positives, false negatives, AI ethics, bias, fairness, privacy, and Scratch face sensing.
Included file type: PDF.
Keywords: false positives, false negatives, face detection, face recognition, AI mistakes, AI bias, AI ethics, Scratch face sensing, artificial intelligence, Year 6 AI, Year 7 AI, Year 8 AI.
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