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- W3133774865 abstract "This paper critically examines arguments against independence, a measure of group fairness also known as statistical parity and as demographic parity. In recent discussions of fairness in computer science, some have maintained that independence is not a suitable measure of group fairness. This position is at least partially based on two influential papers (Dwork et al., 2012, Hardt et al., 2016) that provide arguments against independence. We revisit these arguments, and we find that the case against independence is rather weak. We also give arguments in favor of independence, showing that it plays a distinctive role in considerations of fairness. Finally, we discuss how to balance different fairness considerations." @default.
- W3133774865 created "2021-03-15" @default.
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- W3133774865 date "2021-03-01" @default.
- W3133774865 modified "2023-09-30" @default.
- W3133774865 title "Group Fairness" @default.
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- W3133774865 doi "https://doi.org/10.1145/3442188.3445876" @default.
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