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Fair data, fair models

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A model only knows its examples

  • If 90% of your photos are cats, the model gets great at cats and weak at dogs.
  • Unbalanced data can make a model less accurate or unfair for the group that's under-represented.
  • Always ask: who is missing from this data?
Data
who's in it?
Model
learns patterns
Outcome
fair for everyone?