Facial recognition systems are denying unemployment benefits across the US
[Engadget]
Motherboard noted that at least some people have three attempts to pass the facial recognition check, though. The outlet also pointed out that the company’s claims of national unemployment fraud costs have ballooned rapidly in just the past few months, from a reported $100 billion to $400 billion. While Hall attributed that to expanding “data points,” he didn’t say just how his firm calculated the damage. It’s not clear just what the real fraud threat is, in other words.
Whatever is happening with ID.me chief Blake Hall blamed the problems on users rather than the technology. Face Match algorithms have “99.9% efficacy,” he said, and there was “no relationship” between skin tone and recognition failures. Hall instead suggested that people weren’t sharing selfies properly or otherwise weren’t following instructions.
Motherboard noted that at least some people have three attempts to pass the facial recognition check, though. The outlet also pointed out that the company’s claims of national unemployment fraud costs have ballooned rapidly in just the past few months, from a reported $100 billion to $400 billion. While Hall attributed that to expanding “data points,” he didn’t say just how his firm calculated the damage. It’s not clear just what the real fraud threat is, in other words.
Whatever is happening with ID.me’s technology, the incidents highlight one of the reasons federal and state governments hope to limit facial recognition. Even if privacy and security aren’t issues, they don’t appear to be reliable enough to avoid significant issues. That 99.9 percent success rate could still leave many people without benefits they’re eligible to claim. Systems like this may need to be considerably more trustworthy to eliminate these headaches in the future.