Fairness in Algorithmic Decision Making

This article explains how machine learning algorithms work and how they are being used to make critical decisions. Eliminating bias in these algorithms and making them fair to groups and individuals is vitally important. We review a few common definitions of fairness of algorithms, and point a way out of the seeming impasse of choosing between mutually incompatible criteria in some scenarios. We identify two things that algorithmic decision-making systems can learn from human decision-making sys