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notes:statistical-fairness [2026/05/27 14:44] – created samnotes:statistical-fairness [2026/05/28 03:13] (current) – A word sam
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 ====== Statistical Fairness ====== ====== Statistical Fairness ======
-The idea is to ensure that a classifier is fair by ensuring that membership in the class is //independent// from membership in a protected group (such as race, sex, etc.).+The idea is to check that a classifier is fair by testing if membership in the class is //independent// from membership in a protected group (such as race, sex, etc.).
  
 More formally, let the class attribute be $y = \{+, -\}$, and the protected attribute be $S = \{s, \overline{s}\}$, where $s$ denotes a sample //inside// the protected class, and $\overline{s}$ denotes a sample //outside// the protected class.(([[https://arxiv.org/abs/2110.00530|Quy et al, 2021]])) More formally, let the class attribute be $y = \{+, -\}$, and the protected attribute be $S = \{s, \overline{s}\}$, where $s$ denotes a sample //inside// the protected class, and $\overline{s}$ denotes a sample //outside// the protected class.(([[https://arxiv.org/abs/2110.00530|Quy et al, 2021]]))
notes/statistical-fairness.1779893083.txt.gz · Last modified: by sam