Location: Conferences » The ACM SIGKDD Conference Series - International Conference on Knowledge Discovery & Data Mining » 23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Halifax 2017 » KDD 2017 Workshops

The Authority of "Fair" in Machine Learning

author: Michael Skirpan, Department of Computer Science, University of Colorado Boulder
published: Dec. 1, 2017,   recorded: August 2017,   views: 2771
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Description

In this paper, we argue for the adoption of a normative definition of fairness within the machine learning community. After characterizing this definition, we review the current literature of Fair ML in light of its implications. We end by suggesting ways to incorporate a broader community and generate further debate around how to decide what is fair in ML.

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