A Framework for Trustworthy AI in Credit Risk Management: Perspectives and Practices

Abstract

We present a reference architecture for trustworthy artificial intelligence based on three key tenets (usable, reliable, and transparent) and analyze its applicability in managing the challenges involved in the credit risk model from a practitioner’s perspective. We propose a holistic approach covering relevant concerns in practical implementations.