Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S. Fair Lending Regulation. (arXiv:2210.02516v1 [cs.LG])

Credit is an essential component of financial wellbeing in America, and
unequal access to it is a large factor in the economic disparities between
demographic groups that exist today. Today, machine learning algorithms,
sometimes trained on alternative data, are increasingly being used to determine
access to credit, yet research has shown that machine learning can encode many
different versions of "unfairness," thus raising the concern that banks and
other financial institutions could -- potentially unwittingly -- engage in
illegal discrimination …

algorithmic fairness algorithms arxiv credit fair fairness lending regulation research