Computing·Artificial Intelligence·conceptual
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
Suggested ages 7–9
Evidence of understanding
- 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
Assessment prompt
If an AI incorrectly identified a picture of a muffin as a chihuahua, could AI Mistakes and Limitations explain why that kind of mistake happens?
Standards alignment
No external standards are linked to this topic.