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  • Fairness (machine learning) - Wikipedia
    • really nicely sets out:
      1. Independence: Independence of the sensitive characteristic and the predictors
      2. Separation: Conditional independence of the sensitive characteristic and the predictors condititioned on the target (GT)
      3. Sufficiency: Conditional independence of the sensitive characteristic and the target (GT) condititioned on the predictors