On September 19, the Consumer Financial Protection Bureau (CFPB) issued a new directive, Circular 2023-03, which outlines the responsibilities of lenders when denying credit applications underwritten through artificial intelligence (AI) or complex credit models. This is part of CFPB’s effort to provide greater transparency in lending processes and enhance fairness in credit decisions.
Notably, the guidance indicates that a lender that rejects a credit application based on AI or similar predictive decision-making technologies may not solely rely on the standard “checkbox” adverse action notice form. The core implication is that it is no longer sufficient to merely tick a box stating ‘credit score’ as the reason for credit denial.
Critics argue that AI’s role in credit underwriting, while providing advantages such as speed and efficiency, potentially obscures the reasons for particular credit decisions. This new guidance from CFPB is clearly directed at mitigating this issue, forcing lenders to be explicit about the factors contributing to credit decisions when they are largely driven by AI.
Not only does this promote transparency, but it also provides consumers better insight into the reasons behind their credit application’s rejection, possibly helping them rectify potential issues for future applications.
The value of transparency and fairness in lending processes, especially when newer technologies like AI come into play, cannot be understated. As such, it’s important for financial institutions and lending firms to stay updated with the CFPB’s latest guidance.
This detailed review offers a comprehensive understanding of Circular 2023-03 and the implications of this latest guidance on the use of AI in credit underwriting.