Fairness-aware Machine Learning

Abstract

The goal of fairness-aware machine learning is to analyze data while taking into account potential issues of fairness, discrimination, neutrality, and/or independence. This survey shows the causes of unfairness in the use of machine learning, formal criteria to define the fairness in machine learning, and the methods to discover unfairness and to mitigate the unfairness in prediction.