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Fairness Metrics

FAIR-nes MET-riks

/ˈfɛərnɪs ˈmɛtrɪks/

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fairnessmetrics

Dictionary meaning

Quantitative measures used to evaluate whether a machine learning model's predictions exhibit disparate impact or bias across demographic groups

Examples

  • Fairness metrics revealed that the hiring model had significantly lower recall for candidates from underrepresented groups.
  • There is no single agreed-upon fairness metric; different definitions can be mathematically incompatible.

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