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"The campaign is spearheaded by the privacy advocate Big Brother Watch and is also backed by 31 groups including Liberty, Amnesty International and the Race Equality Foundation. Police have deployed live facial recognition at large-scale public events, including King Charles's coronation. The statement said: "We hold differing views about live facial recognition surveillance, ranging from serious concerns about its incompatibility with human rights, to the potential for discriminatory impact, the lack of safeguards, the lack of an evidence base, an unproven case of necessity or proportionality, the lack of a sufficient legal basis, the lack of parliamentary consideration, and the lack of a democratic mandate. "We call on UK police and private companies to immediately stop using live facial recognition for public surveillance.""

"SINGAPORE - In the not too distant future, surveillance cameras sitting atop over 100,000 lampposts in Singapore could help authorities pick out and recognise faces in crowds across the island-state. The plan to install the cameras, which will be linked to facial recognition software, is raising privacy fears among security experts and rights groups. The government said the system would allow it to "perform crowd analytics" and support anti-terror operations."

"To Lawmakers and School Administrators: As parents and caregivers, there is nothing more important to us than our children's safety. That's why we're calling for an outright ban on the use of facial recognition in schools. We're concerned about this technology spreading to our schools, infringing on our kids' rights and putting them in danger. We don't even know the psychological impacts this constant surveillance can have on our children, but we do know that violating their basic rights will create an environment of mistrust and will make it hard for students to succeed and grow. The images collected by this technology will become a target for those wishing to harm our children, and could put them in physical danger or at risk of having their biometric information stolen or sold. The well-known bias built into this technology will put Black and brown children, girls, and gender noncomforming kids in specific danger. Facial recognition creates more harm than good and should not be used on the children we have been entrusted to protect. It should instead be immediately banned."

YES IAN YOU SHOULD BE READING THIS! "The authors raise three arguments: first, that "notice and choice" has been a failure ("to opt out simply stay indoors!"); second, that facial recognition fears are technophobic overreactions, and finally, that facial recognition is uniquely powerful and dangerous and needs a regulatory framework separate from other privacy rules ("to opt out, just don't have a face")."

"The lack of answers the Jacksonville sheriff's office have provided in Lynch's case is representative of the problems that facial recognition poses across the country. "It's considered an imperfect biometric," said Garvie, who in 2016 created a study on facial recognition software, published by the Center on Privacy and Technology at Georgetown Law, called The Perpetual Line-Up. "There's no consensus in the scientific community that it provides a positive identification of somebody.""

"Facebook is considering incorporating most of its 1 billion-plus members' profile photos into its growing facial recognition database, expanding the scope of the social network's controversial technology. The possible move, which Facebook revealed in an update to its data use policy on Thursday, is intended to improve the performance of its "tag suggest" feature. The feature uses facial recognition technology to speed up the process of labelling or "tagging" friends and acquaintances who appear in photos posted on the network"

"Home Office officials have drawn up secret plans to lobby the independent privacy regulator in an attempt to push the rollout of controversial facial recognition technology into high street shops and supermarkets, internal government minutes seen by the Observer reveal."

"However, there is some concern about how accurate these new procedures will be. Apparently the facial recognition technology doesn't recognize all people will the same accuracy. White women and black people aren't as easily recognized as white men, meaning there could be some mismatching of identities. Some are also concerned that this is crossing the line in terms of passenger privacy."

"documenting a tool for fooling facial recognition software by shining hat-brim-mounted infrared LEDs on the user's face, projecting CCTV-visible, human-eye-invisible shapes designed to fool the face recognition software. "

"The submission outlines Big Blue's belief that facial recognition is fine in a "1 to 1" context such as unlocking a phone. But IBM is opposed to "1 to many" facial recognition that refers to a database to identify a face in a crowd and could therefore be used for "mass surveillance systems, racial profiling or other human rights violations.""

"A preliminary study finds that facial recognition algorithms struggle to identify people wearing masks. The study tested 89 commercial facial recognition algorithms, and the best had error rates between 5% and 50% in matching unmasked photos with photos of the same person wearing a digitally-applied mask. Masks both lowered the algorithms' accuracy rates and raised the number of failures to process. The more of the nose is covered by the mask the lower the algorithm's accuracy; however, error rates were generally lower with round masks; and the algorithms generally performed worse with black masks than with surgical blue ones. False positive remained stable or declined a small amount."

"North America, Central America, and Caribbean In the U.S., a 2016 study showed that already half of American adults were captured in some kind of facial recognition network. More recently, the Department of Homeland Security unveiled its "Biometric Exit" plan, which aims to use facial recognition technology on nearly all air travel passengers by 2023, to identify compliance with visa status."

"The gulf between how well facial recognition performs in academic settings vs. real world applications is vast."

"Intentions aside, the app seems to cross some pretty serious privacy boundaries. Generally speaking, people like to choose who they identify themselves to, and having your online information freely available to anyone who sees you in public seems an uncomfortable prospect. Google seems to think so, too; the Web giant does not currently allow facial recognition apps on the MyGlass app store. "

"Raji says her investigation into the data has made her gravely concerned about deep-learning-based facial recognition. "It's so much more dangerous," she says. "The data requirement forces you to collect incredibly sensitive information about, at minimum, tens of thousands of people. It forces you to violate their privacy. That in itself is a basis of harm. And then we're hoarding all this information that you can't control to build something that likely will function in ways you can't even predict. That's really the nature of where we're at.""

"Interest in so-called dazzle camouflage appears to have grown substantially since the Metropolitan police announced last week that officers will be using live facial recognition cameras on London's streets - a move described by privacy campaigners and political activists as "dangerous", "oppressive" and "a huge threat to human rights"."

"Unlike other face recognition technology, their algorithm allows quick searches in big data sets. "Three million searches in a database of nearly 1bn photographs: that's hundreds of trillions of comparisons, and all on four normal servers. With this algorithm, you can search through a billion photographs in less than a second from a normal computer," said Kabakov, during an interview at the company's modest central Moscow office. The app will give you the most likely match to the face that is uploaded, as well as 10 people it thinks look similar."

"KFC has teamed up with Baidu - the search engine company often referred to as "China's Google" - to develop facial-recognition technology that can be used to predict customer's orders."

"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."

"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."