Algorithmic Fairness from a Non-ideal Perspective

Sina Fazelpour
Sina Fazelpour

AIES, pp. 57-63, 2020.

Cited by: 1|Views24
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Abstract:

Inspired by recent breakthroughs in predictive modeling, practitioners in both industry and government have turned to machine learning with hopes of operationalizing predictions to drive automated decisions. Unfortunately, many social desiderata concerning consequential decisions, such as justice or fairness, have no natural formulation...More

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