BiasMedium
Apple Card's Credit Assessment Algorithm Allegedly Discriminated against Women
- Occurred
- Nov 11, 2019
- Published
- Aug 14, 2021
- Source
- AI Incident Database
Summary
Apple Card's credit assessment algorithm was reported by Goldman-Sachs customers to have shown gender bias, in which men received significantly higher credit limits than women with equal credit qualifications.
Developers
- Apple
Deployers
- Goldman-Sachs
Harmed parties
- Women and girls
- Women
- Apple card users
- Apple card credit applicants
Classification
Category confidence: 95%
Severity confidence: 90%
Rationale: Algorithmic gender bias in credit limits reported by customers without confirmed regulatory action or major financial loss.
Classifier: Qwen/Qwen3.5-35B-A3B-FP8