6
Lesson 6 of 20 ยท Learning from Examples
Bias in training data
If training data over-represents one group, AI becomes biased. A facial recognition system trained mostly on light-skinned faces works worse for darker skin.
- Unbalanced data creates biased AI.
- Diverse representation in data reduces bias.
Think about it
Why do we split data into train, validate, and test?
