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HighBanking10 November 2019

Apple Card Algorithm Allegedly Gave Women Lower Credit Limits Than Husbands

Apple / Goldman Sachs

What happened

Tech entrepreneur David Heinemeier Hansson publicly revealed that Apple Card had given him a credit limit 20 times higher than his wife despite them filing joint tax returns and his wife having a higher credit score. Multiple women reported similar disparities.

Root cause

The Goldman Sachs credit model used proxy variables that correlated with gender even without directly using gender as an input feature; no fairness testing across demographic groups was conducted post-deployment.

Architectural failure

No demographic parity monitoring or bias detection applied to credit decisions; model evaluated on historical credit data reflecting gender-based financial disparities; no explainability mechanism.

Outcome

New York Department of Financial Services opened an investigation. Led to broader regulatory interest in fair lending algorithms.

Architectural Failure Patterns

These pattern categories on aipatterns.com.au describe the systemic failure modes this incident exhibited.

Cite this incident

https://corporateai.com.au/incidents/apple-card-gender-discrimination-2019

Quick facts

Date
10 November 2019
Organisation
Apple / Goldman Sachs
Sector
Banking
Severity
High
Regulatory bodies
Equal Credit Opportunity Act (ECOA)Fair Housing ActNY Banking LawCFPB Regulations
Tags
algorithmic-biasgender-discriminationcredit-scoringfintechfair-lendingproxy-discrimination

Explore failure patterns

aipatterns.com.au