On September 19, the CFPB issued
guidance about legal requirements that creditors must follow when using artificial intelligence and other complex models.
In prior guidance, the agency stated that lenders must provide specific and accurate reasons for adverse actions against consumers. The latest guidance expanded upon that prior guidance to clarify that lenders cannot simply use CFPB sample adverse action forms and checklists when taking adverse actions against consumers, but must explain the reasons for such adverse actions to help improve consumers’ chances for future credit, and protect consumers from illegal discrimination.
In its announcement of the updated guidance, the CFPB discussed the potential that consumers may be denied credit as a result of the increased use of complex, predictive decision-making technologies to analyze large datasets that may include consumer surveillance data or other information that the consumer may not believe is relevant to their finances. The agency confirmed that creditors must disclose the specific reasons for adverse action, even if consumers may be surprised, upset, or angered to learn their credit applications were being graded on data that may not intuitively relate to their finances. According to the guidance, a creditor is not absolved from the requirement to specifically and accurately inform consumers of the reasons for adverse actions because the use of predictive decision-making technologies in their underwriting models makes it difficult to pinpoint the specific reasons for such adverse actions.