Eventually, facial recognition technology will evolve to the point where it makes few mistakes. That's where the real concerns are.

The key to moving the accuracy needle for facial recognition was to use a new method that looks at a person's attributes and poses.

POWERED BY advances in artificial intelligence (AI), face-recognition systems are spreading like knotweed. Facebook, a social network, uses the technology to label people in uploaded photographs ...

Fujitsu Laboratories has developed a technology that is more accurate at tracking complex facial expressions such as awkward giggles, nervousness or confusion. Written by Daphne Leprince-Ringuet ...

Everything we know about the face recognition systems the FBI and police use suggests the software has a built-in racial bias. That isn’t on purpose—it’s an artifact of how the systems are ...

In practice, they found that software that generated an average face for recognition worked far better than software that matched faces based on the features of individual images.

Federal study shows face recognition accuracy varies by gender and race It's not definitive proof of bias, but there are reasons for concern.

49 organizations, including companies from the United States, China, Russia, Europe, and Japan, participated in the NIST’s FRVT 2018, where the evaluation of face recognition accuracy was performed.