Methods for Quantifying Discriminatory Effects on Protected Classes in Insurance

As the insurance industry focuses attention on potential racial bias across all practice areas, this paper examines three approaches to defining and measuring fairness in predictive models. It also provides an overview of several bias mitigation techniques that can be performed during the input, modeling, or output phase of a model once a set of fairness criteria has been adopted.