همفکران فناوری شریف
1Introduction
Under the US Equal Credit Opportunity Act and Regulation B, lenders that deny credit must provide specific reasons. As “black-box” machine-learning models spread, the question arose whether complexity could justify generic explanations.
2Discussion
In Circular 2022-03 (May 2022), the CFPB answered no: the law has no exception for complex technology, and if a lender cannot explain the specific reasons for its model’s decision, it should not use that model for credit decisions.
3Conclusion
In 2023 the CFPB added that sample reason checklists are insufficient if they do not reflect the actual reasons. This aligns with the EU’s SCHUFA ruling and AI Act: AI in credit must be explainable.
Sources
همفکران فناوری شریفThis article summarises the official sources cited, prepared by the Hamfekran Fanavari Sharif team for finance leaders.
Want to see these solutions in your organisation?Book a free demo
