📄 Papers
Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
Joy Buolamwini, Timnit Gebru •
A groundbreaking 2018 FAccT study revealing severe bias in commercial facial recognition systems against darker-skinned women, with error rates up to 34.7% compared to just 0.8% for lighter-skinned males.
AI Ethics Intersectional Feminism Race and Gender
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