Explainable AI for Financial Risk Management

Research output: Book/ReportCommissioned report

Abstract

We overview the opportunities that Explainable AI (XAI) offer to enhance financial risk management practice, which feeds into the objective of simplifying compliance for banking and financial services organisations. We provide a clear problem statement, which makes the case for explainability around AI systems from the business and the regulatory perspective. A comprehensive literature review positions the study and informs the solution framework proposed. The solution framework sets out the key considerations of an organisation in terms of setting strategic priorities around the explainability of AI systems, the institution of appropriate model governance structures, the technical considerations in XAI analytics, and the imperative to evaluate explanations. The use case demonstration brings the XAI discussion to life through an application to AI based credit risk management, with focus on credit default prediction.
Original languageEnglish
Place of PublicationGlasgow
PublisherUniversity of Strathclyde
Commissioning bodyInnovate UK
Number of pages49
Publication statusPublished - 31 Mar 2024

Publication series

NameFinancial Regulation Innovation Lab White Paper Series
PublisherUniversity of Strathclyde
ISSN (Electronic)3033-4136

Keywords

  • Artifical Intelligence
  • financial risk
  • explainable AI

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