Unlocking Fairness: a Trade-off Revisited
Michael Wick, Swetasudha Panda, Jean-Baptiste Tristan
{michael.wick,swetasudha.panda,jean.baptiste.tristan}@oracle.com
Oracle Labs, Burlington, MA.
Abstract
The prevailing wisdom is that a model’s fairness and its accuracy are in tension
with one another. However, there is a pernicious modeling-evaluating dualism
bedeviling fair machine learning in which phenomena such as label ...


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