Its also possible that if you have good data on a person's financial situation and behaviour (and more questionable that of their social circle) that race stops being a relevant signal in the algorithm as it was only ever a proxy for a person's finances and job security.

If there was substantial remaining bias you could probably measure the impact of race on credit while training the model but remove it or consider everyone the same race when scoring customers.

(Disclaimer: I do ML for a consumer credit company, not in the USA).