Fairer machine learning in the real world: Mitigating discrimination without collecting sensitive data

Article English OPEN
Veale, M.; Binns, R.;
(2017)

Decisions based on algorithmic, machine learning models can be unfair, reproducing biases in historical data used to train them. While computational techniques are emerging to address aspects of these concerns through communities such as discrimination-aware data mining... View more
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