Age verification is consuming the Internet. From social media bans in Australia to porn restrictions in half of US states, for many having to prove their age to access websites is becoming an everyday requirement. But one of the key technologies underpinning many of these age checks is about to seep into the offline world—with potentially life-changing consequences for people having their age predicted by AI.

Starting next year, the British government is planning to introduce facial age estimation—where AI scans your face and suggests how old you are—to help determine the age of asylum seekers arriving at the United Kingdom’s border. The move is believed to be the first time that a so-called facial age estimation (FAE) system has been used in this way. Many asylum seekers arriving in the UK will not have documents proving their age, and if children are incorrectly classed as adults, they can be stripped of some legal protections and placed in adult-only detention centers.

An investigation by WIRED and Lighthouse Reports, in collaboration with The Independent, has obtained an internal UK government report detailing its tests of FAE technologies. It shows how the systems regularly mistake children for adults and appear to contain serious bias problems, which directly impact the largest group of migrants subject to age assessments in 2025, according to data from the Home Office. The investigation raises questions about the effectiveness of the technology and whether it should be deployed in such high-stakes scenarios.

Read full article

Comments

Late last week, Anthropic took its new Claude Fable 5 and Mythos 5 AI models offline following a United States government export-control directive barring “any foreign national” from using the services. The company has been in talks with the White House since Friday but has yet to secure an agreement that would allow it to reinstate the offerings.

Since Mythos debuted in April, Anthropic has claimed—and warned—that the model has advanced capabilities for not only finding software vulnerabilities to help defenders patch them, but also figuring out ways to exploit them that could be used by bad actors. Anthropic itself noted this double-edged sword in its launch of Mythos 5 and Claude Fable 5. “A great deal of advanced usage of AI models is dual use: the same queries that are beneficial in the hands of cybersecurity professionals and biology researchers could be dangerous if available to malicious actors,” the company wrote in a blog post last week.

With this in mind, the company initially released a version called Mythos Preview to a select consortium as part of a working group known as Project Glasswing. Mythos 5 was also privately released to this group last week, while Claude Fable 5, which is a Mythos-grade model, was released to the general public with specific blocks on its ability to give responses to questions about biology and cybersecurity.

Read full article

Comments

At the 2026 World Cup, the refs on the field and the officials on the sidelines will be able to use an abundance of tech to help call penalties, spot offside violations, and make other consequential decisions.

The video assistant referee system, known as VAR, and the semi-automated offside technology (SAOT) have been used in soccer for years. But the setup at this summer's World Cup represents some of the most advanced uses of adjudication tech to date—not just in soccer, but across all high-level sports.

During each match, the pitch will be awash in sensors, cameras, and new computer vision software. One especially notable advancement this year is the use of digital twins. Every player in the World Cup has had their body scanned by a computer. The digital twin of any athlete—which precisely matches their height, limb length, and shoe size—can be dropped into a virtual simulation of the game to determine their exact position relative to the ball, boundary lines, and other players. Officials can use all of this data to help spot infractions, determine penalties, and smooth out the edges of the beautiful game.

Read full article

Comments

Last year, Meta radically overhauled the rules around what content it would allow on its platforms. The company claimed that its own efforts policing speech had gone too far and that it would relax the rules around what speech was allowed. “We have been over-enforcing our rules, limiting legitimate political debate and censoring too much trivial content and subjecting too many people to frustrating enforcement actions,” Joel Kaplan, Meta’s chief global affairs officer, wrote in a blog post at the time.

Over a year later, new research from the Center for Countering Digital Hate (CCDH) shows the immediate impact of these changes.

The researchers analyzed about 8 million Facebook comments and found that abusive and racist comments targeting both Republican and Democrat lawmakers tripled in the six months after the new rules were put in place. Some categories of abusive comments documented by the researchers saw even sharper rises, with violent threats and hate speech quadrupling during the same period.

Read full article

Comments

One day after WIRED revealed that Meta had quietly embedded an unreleased face-recognition system into an app installed on more than 50 million phones, the company removed it, according to a WIRED analysis of the latest version’s code.

The most recent version of Meta AI, a companion app for its line of smart glasses, strips out the unactivated software components that powered the system Meta internally called NameTag. The version published the day of WIRED’s report included several code libraries explicitly named for face recognition. Friday’s release includes none of them.

Andy Stone, Meta's vice president of communications, told WIRED on Monday that the feature is purely exploratory, adding: “No final decision has been made on what to do here, if anything.”

Read full article

Comments