Fairness Metrics: A Comparative Analysis

Understand

Algorithmic fairness is receiving significant attention in the academic and broader literature due to the increasing use of predictive algorithms, including those based on artificial intelligence.

• One benefit of this trend is that algorithm designers and users have a growing set of fairness measures to choose from.
• However, this choice comes with the challenge of identifying how the different fairness measures relate to one another, as well as the extent to which they are compatible or mutually exclusive.
• We describe some of the most widely used fairness metrics using a common mathematical framework and present new results on the relationships among them.