US mortgage approval algorithm racial discrimination

Occurred: August 2021

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An investigation has found that mortgage lenders are much more likely to turn down Latino, Asian, Native American and Black applicants than White ones.

A Markup assessment of mortgage data, co-published by the AP, discovered that mortgage loan applicants of colour were 40%–80% more likely to be denied than their White counterparts across the US, and that the disparity was greater than 250% in some urban areas.

The algorithms used by lenders are mostly mandated by Freddie Mac and Fannie Mae, whose own underwriting algorithms are a closely held secret.

The Markup's investigation was cited as a reason for the introduction of the US Algorithmic Accountability Act of 2022.

Operator: Freddie Mac; Fannie Mae
Developer:
Freddie Mac; Fannie Mae
Country: USA
Sector:
Banking/financial services
Purpose: Assess mortgage applications
Technology: Underwriting algorithms
Issue: Bias/discrimination - race, ethnicity
Transparency: Governance; Black box

System

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