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"Computers once performed facial recognition rather imprecisely, by identifying people's facial features and measuring the distances among them - a crude method that did not reliably result in matches. But recently, the technology has improved significantly, because of advances in artificial intelligence. A.I. software can analyze countless photos of people's faces and learn to make impressive predictions about which images are of the same person; the more faces it inspects, the better it gets. Clearview is deploying this approach using billions of photos from the public internet. By testing legal and ethical limits around the collection and use of those images, it has become the front-runner in the field. "

"But researchers at New York University's AI Now Institute have issued a strong warning against not only ubiquitous facial recognition, but its more sinister cousin: so-called affect recognition, technology that claims it can find hidden meaning in the shape of your nose, the contours of your mouth, and the way you smile. If that sounds like something dredged up from the 19th century, that's because it sort of is."

"You're nailing the problem: the tech sales people and the politicians are all on the same drug, which is "This tech is perfect", because it's cheaper than more police. There's a lawsuit in the US because a black man was wrongly arrested based on facial recognition. Tech companies need to be held to account. One company we focused on, Clearview AI, scraped social networks - collected images of people's faces and data from publicly available information - to create its software. Facial recognition relies on artificial intelligence. It needs to study faces. And only the government - the DVLA etc - and social networking companies have access to a lot of faces."

"The facial recognition system is currently being rolled out across six of Prof Shen's classes. "The new system saves time and reduces the workload of students," Prof Shen told the Beijing News. "Out of one hundred students, it usually only fails to recognise one student." But obviously, not everyone is a fan."

"The system is called as"Intelligent Classroom Behavior Management System" and it is being used at Hangzhou No. 11 High School. With scanning facial expressions the system has the ability to even analysis six types of behaviors by the students such as standing up, reading, writing, hand raising, listening to the teacher, and leaning on the desk."

"Affectiva is running a program that pays drivers to help train its emotion-recognition system. The company sends drivers a kit including cameras and other sensors to place within their vehicles. These record a person's facial expressions, gestures, and tone of voice on the road. That data is then labeled by trained specialists for a range of emotions, and fed into deep neural networks."

"However, according to data on the force's website, 92% (2,297) of those were found to be "false positives". South Wales police admitted that "no facial recognition system is 100% accurate", but said the technology had led to more than 450 arrests since its introduction. It also said no one had been arrested after an incorrect match."

"Activists from Fight for the Future prowled the halls of Congress in "jumpsuits with phone strapped to their heads conducting live facial recognition surveillance" to "show why this tech should be banned.""

"The report cited a recent academic analysis of studies on how people interpret moods from facial expressions. That paper found that the previous scholarship showed such perceptions are unreliable for multiple reasons."

"Instead, the new work shows our brains rely on the kind of maths that an algorithm might use to perform the task. In fact, Tsao and her colleague, Steven Le Chang, stumbled on their discovery while working on computer vision. The pair had initially set themselves the challenge of coming up with a way of reliably converting facial images into a numerical representation."

"Cellebrite, the Israeli-founded and now Japanese-owned company behind some of the software, claims a wider rollout would solve problems over failures to disclose crucial digital evidence that have led to the collapse of a series of rape trials and other prosecutions in the past year. However, the move by police has prompted concerns over privacy and the potential for software to introduce bias into processing of criminal evidence."

"The software reportedly could set off a "Uighur alarm" when it pinpointed someone from the minority group. Uighurs are a largely Muslim group, and have been subjected to extensive persecution by the hands of the Chinese government."