Detecting proxy discrimination in lending models — name and zip code bias
@fairness_researcher·29 replies·2 hours ago
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The Bias & Fairness community tackles one of the hardest challenges in AI — ensuring models treat all users equitably. From designing bias audits that catch subtle proxy discrimination to defining fairness metrics that are meaningful in practice, this community brings together researchers, ethicists, engineers, and compliance professionals working to eliminate harmful bias from AI systems.