Ministers are facing calls for stronger safeguards on facial recognition technology after the Home Office admitted that it is more likely to incorrectly identify black and Asian people than their white counterparts on some settings. Following the latest testing conducted by the National Physical Laboratory (NPL) of the technology's application within the police national database, the Home Office said it was more likely to incorrectly include some demographic groups in its search results.
The Home Office has formally opened a consultation on the use of facial recognition by UK police, saying the government is committed to introducing a legal framework that sets out clear rules for the technology. Initially announced by policing minister Sarah Jones in early October 2025, the 10-week consultation will allow interested parties and members of the public to share their views on how the controversial technology should be regulated.
We came together with unwavering resolve to ensure that the people of New Orleans have a safe, supported and are here to fully enjoy the excitement of Super Bowl 59,
How do we build the future of communication at the same time? So we, you know, we've been, I think in a good way, working on this ever since we started... and so fast-forward to where we are today, it's just like every week, what is the latest tech? At the scale we're at, 150 million daily actives, 11 billion hours a month, like what is the best way to keep pushing this forward?
The letter, which was first reported by Reuters, told governors that their states are providing U.S. Immigration and Customs Enforcement (ICE) and other federal agencies "with frictionless, self-service access to the personal data of all of your residents," through a non-profit managed by state police agencies called the National Law Enforcement Telecommunications System, or Nlets. Nlets facilitates the sharing of state residents' personal data, in this case drivers' license data, between state, local, and federal police agencies.
Claim: "Ukrainian men as young as 23 are being conscripted and sent to the front" DW Fact check: False However, not only is the video factually incorrect (the minimum conscription age in Ukraine was lowered from 27 to 25 in April 2024, but never to 23), but it is also fake, to be precise: it was generated by artificial intelligence.
AI models are filled to the brim with bias, whether that's showing you a certain race of person when you ask for a pic of a criminal or assuming that a woman can't possibly be involved in a particular career when you ask for a firefighter. To deal with these issues, Sony AI has released a new dataset for testing the fairness of computer vision models, one that its makers claim was compiled in a fair and ethical way.
Deepfakes are like someone putting on a perfect Halloween mask of your face, not just to trick your friends, but to walk into your bank, say 'it's me,' and get handed your money. The scary part? Those masks are now cheap, realistic, and anyone can buy one. Deepfake technology has entered a dangerous new era that is no longer confined to internet jokes or social media stunts - or Halloween mask analogies.
Our automated systems are also getting better at catching these scams before they reach people. The expansion of facial recognition technology in particular more than doubled the volume of celebrity-bait scam ads we were able to detect and remove in testing. Today, there are nearly 500,000 public figures that are being protected from having their likeness misused in these scams.
Specifically, this bug prevented people from using the integrated camera with Windows Hello facial recognition. This stopped users from running a facial scan to sign in to the Camera app, any app or service that normally supports facial scanning via Windows Hello, or any other app or device that relied on the integrated camera. Also: Windows 11 lets you run a network speed test right from the taskbar now - how to try it
A ruling last week in Australia makes using facial recognition to combat fraud almost impossible and is the latest example of global regulators' growing disapproval of biometric technology in retail environments. The Office of the Australian Information Commissioner (OAIC) determined that Kmart Australia Limited had violated the country's Privacy Act 1988 when it used facial recognition to prevent return fraud and theft.
An activist has started using artificial intelligence to identify Immigration and Customs Enforcement agents beneath their masks - a use of the technology sparking new political concerns over AI-powered surveillance.Dominick Skinner, a Netherlands-based immigration activist, estimates he and a group of volunteers have publicly identified at least 20 ICE officials recorded wearing masks during arrests. He told POLITICO his experts are "able to reveal a face using AI, if they have 35 percent or more of the face visible."
The suspect in the murder of Turning Point USA founder Charlie Kirk on Wednesday evening has been identified as Tyler Robinson, first reported by the New York Post, later confirmed by AP. During a Friday morning appearance on Fox & Friends, President Donald Trump revealed that a suspect in the political assassination was in custody, but admitted that he wasn't fully convinced of the accuracy. Kirk was shot in the neck during an event at Utah Valley University on Wednesday.
Like Mr. Williams, the culprit was Black, had a thick beard and mustache, and wore his hair in braids. Physically, the two men had little else in common. Mr. Williams was not only taller, he also weighed 230 pounds. The victim said the delivery man appeared to weigh about 160 pounds. But Mr. Williams still spent more than two days in jail in April.
"Sainsbury's decision to trial Orwellian facial recognition technology in its shops is deeply disproportionate and chilling. "Sainsbury's should abandon this trial and the government must urgently step in to prevent the unchecked spread of this invasive technology."
"Our passports have been secretly turned into mugshots. The government has taken all of our passport photos and secretly turned them into mugshots to build a giant, Orwellian police database."
The project was designed to train the company's AI model to "recognize and analyze facial movements and expressions, such as how people talk, react to others' conversations, and express themselves in various conditions."
