Duke MTMC is a dataset of surveillance camera footage of students on Duke University campus

Attempts to "fix" biased AI can actually harm black, gay, and transgender people.

Chinese schools are using facial recognition on students. But should they?

From the Rose Bowl to upstate New York, people are turning to surveillance systems in the face America’s inability to meaningfully address gun violence.

Facial recognition is not happening in a vacuum. It is plugging into existing surveillance structures, enabling the real-time monitoring of individuals.

Any one of us might end up helping the facial recognition industry, perhaps captured in moments of extraordinary vulnerability.

Some people are said to be unaware that their data had been used for a facial-recognition project.

People’s faces are being used without their permission, in order to power technology that could eventually be used to surveil them, legal experts say.

Last week brought an extraordinary demonstration of the dangers of operating a surveillance state — especially a shabby one, as China's apparently is. An unsecured database exposed millions of records of Chinese Muslims being tracked via facial recognition — an ugly trifecta of prejudice, bureaucracy, and incompetence.

Opinion: The 2009 vs. 2019 profile picture trend may or may not have been a data collection ruse to train its facial recognition algorithm. But we can't afford to blithely play along.

By Nabil Hassein Researchers have documented the frequent inability of facial recognition software to detect Black people’s faces due to programmers’ use of unrepresentative data to train mac…

A command post 2,000 miles away from the venue then cross-referenced the images with a database of more than 100 known stalkers.

The technology could revolutionize policing, medicine, even agriculture—but its applications can easily be weaponized.

Facial recognition surveillance is being rapidly deployed, but despite serious privacy concerns and inaccuracy problems, basic oversight and transparency measures lagging behind.

The opening summary is pretty great.

Rage and tears followed the murder of Nia Wilson, an 18-year old Black woman from Oakland, who was killed while exiting a Bay Area Rapid Transit (BART) train one Sunday evening in July. These were appropriate reactions in the wake of such a tragedy, especially from community members incensed by the seemingly relentless targeted killing of Black people across the nation by police and racist vigilantes. But there were inappropriate responses as well. Among the worst of these came from BART authorities that responded with a proposal for widely expanding transit surveillance. One BART policymaker went as far as to call for the widespread use of facial recognition technology. Let’s be clear: expanded surveillance and facial recognition technology are not the solution. Would these technologies have prevented Nia Wilson’s murder? No. Instead of preventing race-based hate crimes, expanded surveillance will just put more people of color at risk, adding insult to injury, salt to an open...

When my daughter returned to classes this fall at Lockport High School in western New...

Earlier this year, Amazon’s facial recognition tech Rekognition — which can scan photos and videos and match them against databases...