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"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.""

"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"."

"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."

"The app, which scraped billions of photos from the likes of Facebook, YouTube, Venmo, and other online platforms, drew the world's attention last weekend following a detailed report in the New York Times. The app's supposed capability to identify practically anyone from even low-quality photos frightened privacy advocates and officials. And today, one of the latter - New Jersey's attorney general Gurbir Grewal - actually did something about it."

""The AI will be trained to detect incidents such as people fighting, a group of agitated persons, people following someone else, and arguments or other abnormal behaviour," SMART lecturer and team lead Johan Barthelemy said. "It can also identify an unsafe environment, such as where there is a lack of lighting.The system will then alert a human operator who can quickly react if there is an issue.""