A team of engineering researchers from the University of Toronto has created an algorithm to dynamically disrupt facial recognition systems. Led by professor Parham Aarabi and graduate student Avishek Bose, the team used a deep learning technique called "adversarial training", which pits two artificial intelligence algorithms against each other. Aarabi and Bose designed a set of two neural networks, the first one identifies faces and the other works on disrupting the facial recognition task of the first. The two constantly battle and learn from each other, setting up an ongoing AI arms race. "The disruptive AI can'attack' what the neural net for the face detection is looking for," Bose said in an interview.
Amazon has some explaining to do. The online retail giant has been caught providing facial recognition technology to law enforcement in Oregon and Orlando, according to documents obtained by the American Civil Liberties Union through a Freedom of Information Act Request. Emails obtained through the request show how Amazon has been advertising and selling its facial recognition product, Rekognition, for only a few dollars a month to law enforcement agencies -- in the hopes that they would encourage other agencies to sign up. The emails also show Amazon has marketed consulting services to law enforcement as well. SEE ALSO: What would an Amazon Alexa robot look like?
Facial recognition technology used by the UK police is making thousands of mistakes - and now there could be legal repercussions. Civil liberties group, Big Brother Watch, has teamed up with Baroness Jenny Jones to ask the government and the Met to stop using the technology. They claim the use of facial recognition has proven to be'dangerously authoritarian', inaccurate and a breach if rights protecting privacy and freedom of expression. If their request is rejected, the group says it will take the case to court in what will be the first legal challenge of its kind. South Wales Police, London's Met and Leicestershire are all trialling automated facial recognition systems in public places to identify wanted criminals.
Microsoft claims its facial recognition technology just got a little less awful. Earlier this year, a study by MIT researchers found that tools from IBM, Microsoft, and Chinese company Megvii could correctly identify light-skinned men with 99-percent accuracy. But it incorrectly identified darker-skinned women as often as one-third of the time. Now imagine a computer incorrectly flagging an image at an airport or in a police database, and you can see how dangerous those errors could be. Microsoft's software performed poorly in the study.
Microsoft has called for facial recognition technology to be regulated by government, with for laws governing its acceptable uses. In a blog post on the company's website on Friday, Microsoft president Brad Smith called for a congressional bipartisan "expert commission" to look into regulating the technology in the US. "It seems especially important to pursue thoughtful government regulation of facial recognition technology, given its broad societal ramifications and potential for abuse," he wrote. "Without a thoughtful approach, public authorities may rely on flawed or biased technological approaches to decide who to track, investigate or even arrest for a crime." Microsoft is the first big tech company to raise serious alarms about an increasingly sought-after technology for recognising a person's face from a photo or through a camera.