“Luckily I had enough food saved up so I didn’t have to worry about that. ![]() Weaver went for three weeks without receiving his benefit. This went on for several weeks, Weaver said, until he tweeted a scathing criticism of the company, which then reached out and-after several more frustrating days-verified Weaver’s identity. He tried contacting the state of Nevada for help, but the employees there directed him back to ID.me. He tried numerous times at all hours of the day. Weaver said he attempted to contact the company’s customer support through its chat feature, which claims to provide assistance 24-hours a day, seven days a week. It rejected it three times, and then it locked me out of the system.” Weaver told Motherboard that when he attempted to pass ID.me’s facial recognition test he held a phone in front of him in the instructed position but “it rejected it, didn’t give us a reason, just rejected it. That doesn’t mesh with the experiences being shared on Twitter by people like Tim Weaver, a gig economy worker in Las Vegas who was suddenly cut off from his unemployment benefits in late March after ID.me failed to identify him. “There is in fact no relationship between skin tone and Face Match failure on a 1:1 basis” according to a regression analysis the company performed. ![]() “The algorithms used for Face Match operate ~99.9% efficacy,” Hall wrote in an email to Motherboard. ID.me CEO Blake Hall told Motherboard that the company’s facial recognition technology does one-to-one matching-comparing one face against a picture of that same face (from a driver’s license, say)-whereas other applications of facial recognition attempt to find a match for a face in a large dataset of faces, known as one-to-many matching.
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