Fairness Constraints: Mechanisms for Fair Classification

@inproceedings{Zafar2017FairnessCM,
  title={Fairness Constraints: Mechanisms for Fair Classification},
  author={Muhammad Bilal Zafar and Isabel Valera and Manuel Gomez-Rodriguez and Krishna P. Gummadi},
  booktitle={AISTATS},
  year={2017}
}
Algorithmic decision making systems are ubiquitous across a wide variety of online as well as offline services. These systems rely on complex learning methods and vast amounts of data to optimize the service functionality, satisfaction of the end user and profitability. However, there is a growing concern that these automated decisions can lead, even in the absence of intent, to a lack of fairness, i.e., their outcomes can disproportionately hurt (or, benefit) particular groups of people… CONTINUE READING
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