Remote ID verification tech is often biased, bungling, and no good on its own

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Remote ID verification tech is often biased, bungling, and no good on its own
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Only 2 out of 5 tested products were equitable across demographics

A study by the US General Services Administration has revealed that five remote identity verification technologies are unreliable, inconsistent, and marred by bias across different demographic groups.

If you're wondering - hey, haven't we hashed out bias in facial recognition before? Sure, we have - real-time facial recognition tech used in public places by law enforcement has long been established to have"Prior work by NIST and others have considered the fairness of face matching systems," the researchers wrote in their report.

"Login.gov is currently using a vendor with an algorithm that was one of the highest performers in the NIST FRVT study," a GSA spokesperson toldFriday." look forward to continuing to evaluate research, such as the final equity study results once complete, to assess all aspects of its performance and inform future efforts."

"The best at 10 percent and the worst at 50/50 is a real challenge - how are you just better than a coin toss," Talcove asked of the products tested."Some people's licenses are in better condition, some have better cameras or internet connections than others," the LexisNexis exec said."Folks lose weight, or change their appearances.

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