Goldman Sachs' Apple Card Algorithm under Scrutiny over Perceived Gender Bias

A recent study has raised concerns about potential gender bias in the algorithm used for Apple Card, issued by Goldman Sachs. The research suggests that women are less likely to be approved for credit limits than men with similar financial profiles.

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MEASURE 2.10 — similarity 0.503, rank 1. TAIM detail and related incidents →
GOVERN 3.1 — similarity 0.502, rank 2. TAIM detail and related incidents →
MEASURE 2.11 — similarity 0.493, rank 3. TAIM detail and related incidents →

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Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/92

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McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.

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