What's Fair?

KDD, pp. 1-1, 2017.

Cited by: 4|Bibtex|Views34|DOI:https://doi.org/10.1145/3097983.3105807
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Other Links: dl.acm.org|dblp.uni-trier.de

Abstract:

Data, algorithms, and systems have biases embedded within them reflecting designers' explicit and implicit choices, historical biases, and societal priorities. They form, literally and inexorably, a codification of values. \"Unfairness\" of algorithms -- for tasks ranging from advertising to recidivism prediction -- has attracted consider...More

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