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Despite being widely used, face recognition models suffer from bias: the probability of a false positive (incorrect face match) strongly depends on sensitive attributes such as the ethnicity of the face.
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Moritz Hardt, Eric Price, Eric Price, and Nati Srebro · 2016
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Jon Kleinberg, Sendhil Mullainathan, and Manish Raghavan · 2017
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Geoff Pleiss, Manish Raghavan, Felix Wu, Jon Kleinberg, and Kilian Q Weinberger · 2017
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Pingyu Wang, Fei Su, Zhicheng Zhao, Yandong Guo, Yanyun Zhao, and Bojin Zhuang · 2019
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Feature transfer learning for face recognition with under-represented data
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Sixue Gong, Xiaoming Liu, and A Jain · 2020
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Comparison-level mitigation of ethnic bias in face recognition
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