Facial recognition systems can be considered a controversial technology. On the one hand, this technology affects people’s privacy. On the other hand, it assists in preventing or detecting violence.

Researchers found that most facial-recognition algorithms exhibit “demographic differentials” that can worsen their accuracy based on a person’s age, gender or race.

Hello and welcome to Eye on AI. In today’s edition…Police are running wild with flawed facial recognition systems and no one ...

Facial recognition algorithms are getting better at recognizing faces in masks, according to data published on Tuesday by the National Institute for Standards and Technology (NIST). Drawing on ...

The US Department of Homeland Security (DHS) is piloting facial recognition technologies that can see through face masks with a "promising" level of accuracy, meaning that travelers could end up ...

IDEMIA has announced that its facial recognition algorithm - 1:N came top among 114 tested systems in NIST’s latest FRVT1. FRVT test results are acknowledged to be the gold standard of the global ...

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Lawmakers should know that a facial recognition algorithm’s performance on a test cannot be easily or quickly generalized to make broad claims about whether a facial recognition algorithm is safe.

As an essential step in facial recognition, 3D liveness detection works by leveraging algorithms and sensors to detect subtle noise in real and synthetic faces. Some of the most common techniques ...

An investigation published this week in the Washington Post details how police across the U.S. are using flawed AI facial recognition systems to ... 189 facial recognition algorithms from 99 ...