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Using face averages to measure differential accuracy for demographic groups in facial recognition

2025-08-29

Abstract excerpt

<p>Facial recognition Deep Neural Networks (DNNs) and humans both show systematic differences in face recognition accuracy for different demographic groups. Differential accuracy has been shown due to race, age and gender, raising important questions about the impact of facial recognition decisions on the fairness of society. Current methods for measuring bias require curating large databases of face images, which...

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Literature Corpus work
26c08305-6908-5a2c-9fb7-abf27a88930e
DOI
10.31234/osf.io/h82dz_v1
Open publication

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Using face averages to measure differential accuracy for demographic groups in facial recognitionDOI 10.31234/osf.io/h82dz_v1
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