AI Mistakes and Limitations
Computing · Artificial Intelligence · conceptual
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
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
Check your understanding
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?
Prerequisites
Required first