Computing // Artificial Intelligence
AI Mistakes and Limitations
Machines make mistakes; they only know what they've been shown; bad training data leads to bad results; AI is not magic — just maths on data; showing edge cases and failures
Quick check
If an AI incorrectly identified a picture of a muffin as a chihuahua, could the learner explain why that kind of mistake happens?
Ask this to see whether the topic is secure.
Topic // Mastery
What mastery looks like
- Give an example of AI making a mistake (voice assistant mishearing, auto-correct error, wrong recommendation)
- Explain that AI mistakes happen because of gaps or errors in training data
- Describe why AI is not magic — it follows mathematical rules applied to data
Topic // Map
Where this fits
- RequiredMust come first
- HelpfulHelps, but not essential
Before this
1 topic- Machine Learning BasicsRequired
Artificial Intelligence // Ages 7 to 9
Must understand how training works before understanding why it can go wrong
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AI Mistakes and Limitations
Ages 7 to 9 // Concept
Leads to
2 topics- Bias in AI SystemsRequired
Artificial Intelligence // Ages 9 to 11
Must understand AI can be wrong before examining systematic bias
Artificial Intelligence // Ages 9 to 11
Must understand AI limitations before evaluating AI-generated content
Computing // Artificial Intelligence
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