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Incident 618: Navy Federal Credit Union Faces Allegations of Racial Bias in Mortgage Approvals

Responded
Description: Navy Federal Credit Union, serving military members and veterans, faced allegations of racial bias in its mortgage approval process, which relies on automated underwriting technology. In 2022, data revealed significant disparities in loan approvals, with over 50% of Black applicants denied, compared to higher approval rates for white applicants.

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Alleged: Unknown developer of automated underwriting technology developed an AI system deployed by Federal Navy Credit Union, which harmed Federal Navy Credit Union Customers.

Incident Stats

Incident ID
618
Report Count
3
Incident Date
2023-12-14
Editors
Applied Taxonomies
GMF, MIT

MIT Taxonomy Classifications

Machine-Classified
Taxonomy Details

Risk Subdomain

A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
 

1.1. Unfair discrimination and misrepresentation

Risk Domain

The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
 
  1. Discrimination and Toxicity

Entity

Which, if any, entity is presented as the main cause of the risk
 

Human

Timing

The stage in the AI lifecycle at which the risk is presented as occurring
 

Post-deployment

Intent

Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
 

Intentional

Incident Reports

Reports Timeline

+1
The nation’s largest credit union rejected more than half its Black conventional mortgage applicants
Lawmakers call on federal regulators to review Navy Federal over mortgage approval disparities, citing CNN investigation - ResponseSenators call on HUD, CFPB to review mortgage approval gaps at Navy Federal - Response
The nation’s largest credit union rejected more than half its Black conventional mortgage applicants

The nation’s largest credit union rejected more than half its Black conventional mortgage applicants

cnn.com

Lawmakers call on federal regulators to review Navy Federal over mortgage approval disparities, citing CNN investigation

Lawmakers call on federal regulators to review Navy Federal over mortgage approval disparities, citing CNN investigation

cnn.com

Senators call on HUD, CFPB to review mortgage approval gaps at Navy Federal

Senators call on HUD, CFPB to review mortgage approval gaps at Navy Federal

financialregnews.com

The nation’s largest credit union rejected more than half its Black conventional mortgage applicants
cnn.com · 2023

The largest credit union in the US has the widest disparity in mortgage approval rates between White and Black borrowers of any major lender, a trend that reached new heights last year, a CNN analysis found.

Navy Federal Credit Union, which…

Lawmakers call on federal regulators to review Navy Federal over mortgage approval disparities, citing CNN investigation
cnn.com · 2024
Casey Tolan, Rene Marsh post-incident response

More than four dozen members of Congress signed on to two letters Thursday expressing concern about the lending practices of the nation's largest credit union, citing a CNN investigation into racial disparities in the lender's mortgage appr…

Senators call on HUD, CFPB to review mortgage approval gaps at Navy Federal
financialregnews.com · 2024
Dave Kovaleski post-incident response

A group of U.S. senators are calling on the Department of Housing and Urban Development (HUD) and the Consumer Financial Protection Bureau (CFPB) to review the gap in mortgage approval rates between white applicants and Black and Hispanic a…

Variants

A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.
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