Fairness Measures for Machine Learning in Finance

The authors present a machine learning pipeline for fairness-aware machine learning (FAML) in finance that encompasses metrics for fairness (and accuracy). Whereas accuracy metrics are well understood and the principal ones are used frequently, there is no consensus as to which of several available measures for fairness should be used in a generic manner in the financial services industry. The authors explore these measures and discuss which...