Fairness in machine learning has attracted increasing attention in recent years.

Neural Information Processing Systems http://nips.cc/

Neural Information Processing Systems http://nips.cc/

The impossibility theorem of fairness is a foundational result in the algorithmic fairness literature. It states that outside of special cases, one cannot exactly and simultaneously satisfy all three common and intuitive definitions of fairness demographic parity, equalized odds, and predictive rate parity. This result has driven most works to focus on solutions for one or two of the metrics.

We first assign bias classes usingAge and Race attributes. Specifically, for theAge attribute, we divide samples into two groups; bias class 0 for samples withage 20and bias class 1for samples withage 10.