Billions of $ lost in ID theft, now facial recognition is being introduced to fix it…

Krebs on Security:

How $100M in Jobless Claims Went to Inmates

“The U.S. Labor Department’s inspector general said this week that roughly $100 million in fraudulent unemployment insurance claims were paid in 2020 to criminals who are already in jail. That’s a tiny share of the estimated tens of billions of dollars in jobless benefits states have given to identity thieves in the past year. To help reverse that trend, many states are now turning to a little-known private company called …” (…)

“The OIG acknowledges that the total losses from all states is likely to be tens of billions of dollars. Indeed, just one state — California — disclosed last month that hackers, identity thieves and overseas criminal rings stole more than $11 billion in jobless benefits from the state last year. That’s roughly 10 percent of all claims.” (…)

“ says roughly eight users will pass through its automated self-serve flow for every one user who needs to use the video chat method to verify their identity.”

““The majority of legitimate claimants pass our automated, self-serve identity verification process in less than five minutes,” Hall said. “For individuals who fail this process, we are the only company in the United States that offers a secure, video chat based method of identity verification to ensure that all users are able to prove their identity online.””

… eh, what about deepfakes?

It’s very naive to assume that nobody will collect (through hacking) all those video chats and not use them to develop better AI facial recognition. Or that the facial recognition video chat will not soon be automated too, when AI is better at detecting deepfakes than human beings.

How about returning to a more safe society with less surveillance? Like the society we had prior to the rise of Big Tech in the late 1990s. No, let’s just sleepwalk into a high-tech panopticon regime that can end in WW3. That’s really smart, a real sign of high IQ…

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