Quantifying explainable discrimination and removing illegal discrimination in automated decision making

Abstract

Recently, the following discrimination-aware classification problem was introduced. Historical data used for supervised learning may contain discrimination, for instance, with respect to gender. The question addressed by discrimination-aware techniques is, given sensitive attribute, how to train discrimination-free classifiers on such historical data that… (More)
DOI: 10.1007/s10115-012-0584-8

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