Fair lending needs explainable models for responsible recommendation

Abstract

The financial services industry has unique explainability and fairness challenges arising from compliance and ethical considerations in credit decisioning. These challenges complicate the use of model machine learning and artificial intelligence methods in business decision processes.

4 pages, position paper accepted for FATREC 2018 conference at ACM RecSys