New advances in the detection of bias in face recognition algorithms

A team from the Computer Vision Center (CVC) and the University of Barcelona has published the results of a study that evaluates the accuracy and bias in gender and skin color of automatic face recognition algorithms tested with real world data. Although the top solutions exceed the 99.9% of accuracy, researchers have detected some groups that show higher false positive or false negative rates.

from News on Artificial Intelligence and Machine Learning https://ift.tt/3itdh1Q

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