The paper concludes that statistical fairness is irredeemably wrong because fairness must be defined by ethics first, and its four recurring errors are built into the method itself.
This particular rejection of prejudice and favoritism creates an insuperable problem: no discriminating decisions can be made
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Four Bottomless Errors and the Collapse of Statistical Fairness
The paper concludes that statistical fairness is irredeemably wrong because fairness must be defined by ethics first, and its four recurring errors are built into the method itself.