With the growing use of advanced algorithms and personal consumer data in credit underwriting, the reasons for adverse credit actions have become more diverse. Lenders often rely on complex algorithms and AI technologies to make predictive decisions in their underwriting models - and these algorithms are fed with large datasets, sometimes including data obtained from consumer surveillance. Consequently, consumers may be denied credit based on reasons that they may not consider relevant to their financial situation.