How can biases in training data affect the fairness of a machine learning model?

  • Bias in training data can lead to underrepresented groups not being considered
  • Bias can lead to faster training
  • Bias has no impact on model fairness
  • Bias can improve model fairness
Biases in training data can lead to underrepresentation of certain groups, causing the model to make unfair predictions, especially for those underrepresented groups.
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