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"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."

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")."

"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."

"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."

"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.""

"Firm urges regulation, raises concerns about possible misuse of fast improving technology"

"From a practical standpoint, that means government agencies, like the Portland Bureau of Police, cannot use facial recognition software for videos from body cameras, dash cams, or any other form of surveillance equipment."

"Raza wasn't the only one in her class who felt concerned about new levels of surveillance. Another student in the class, who did not want to be named, said that in addition to privacy worries, they were concerned that they didn't even have enough RAM to run the Proctorio software. Worse, the tool's facial detection algorithm seemed to struggle to recognize them, so they needed to sit in the full light of the window to better expose the contours of their face, in their view an indication that the system might be biased. "

"Surrendering our privacy to the government would be foolish enough. But what is more insidious is the Faustian bargain made with the marketing industry, which turns every location ping into currency as it is bought and sold in the marketplace of surveillance advertising. Now, one year later, we're in a very similar position. But it's far worse. A source has provided another data set, this time following the smartphones of thousands of Trump supporters, rioters and passers-by in Washington, D.C., on January 6, as Donald Trump's political rally turned into a violent insurrection. At least five people died because of the riot at the Capitol. Key to bringing the mob to justice has been the event's digital detritus: location data, geotagged photos, facial recognition, surveillance cameras and crowdsourcing."

"Chinese police say they used facial recognition to identify, then arrest a man attending a crowded concert in Nanchang, China's third largest city. South China Morning Post reports that security cameras equipped with the software pinpointed the man out of the estimated 50,000 other people also in attendance at the concert. "

"Georgetown University's Center on Privacy and Technology highlighted the April 2017 episode in Garbage In, Garbage Out, a report on what it says are flawed practices in law enforcement's use of facial recognition. The report says security footage of the thief was too pixelated and produced no matches while high-quality images of Harrelson returned several possible matches and led to one arrest."

"The tech giant revealed updates to the controversial tool on Monday that include improving the accuracy and functionality of its face analysis features such as identifying gender, emotions and age range."

"This led to claims that the software is woefully inaccurate; in fact, police had set the threshold for a match at 60%, meaning that faces do not have to be rated as that similar to be flagged up. This minimises the chance of a person of interest slipping through the net, but also makes a lot of false positives inevitable."

"Chinese scientists have developed a 500 megapixel facial recognition camera four times more detailed than the human eye that can identify individuals from crowds of tens of thousands in streets or at sports stadiums. "

"Zoom is not encrypting calls for free accounts with end to end encryption so they can provide law enforcement and the Federal Bureau of Investigation with content from those calls. As protesters demonstrate in the wake of the murder of George Floyd, law enforcement has deployed a wide range of surveillance tools to monitor and track protesters－including facial recognition software and contact tracing technology. They are working to get information from every source possible to disrupt and even arrest people involved with the protests."