Facial Recognition Bias Persists

London3 facial-recognition models showed persistent demographic disparities.

Aggregate accuracy hid gaps between race-gender subgroups.

Researchers tested ResNet50, MobileNetV3 and DeiT on FairFace and UTKFace, with statistical significance testing.

The authors offer a reproducible framework for auditing representation quality and fairness.

Sources: Nature