21ST CENTURY HEADLINE: How states use facial recognition to sniff out driver’s license fraud.

Deep learning makes it easy and cheap to scan millions of photos for duplicates and fraud, and since it doesn’t involve any extra data collection or access — you just need to find matching entries, not link them to an identity — privacy groups see it as one of the more benign forms of facial scanning. Forty-three of the 50 states have used some form of that technology, with seven of those states adopting the system for driver’s licenses in the last three years. (The holdouts are California, Missouri, Louisiana, Mississippi, Maine, New Hampshire, and Vermont.) But while the scans are still limited, some worry those systems could be the first step toward something more troubling.

One of the driving forces behind the new DMV systems has been a new wave of federal requirements — and newly available federal money to meet those new standards. The RealID Act was passed in 2005 in response to the 9/11 Commission’s identification requirements — including the requirement that driver’s licenses be stored in digital form. States are still in charge of their own licenses, but if licenses don’t meet the new federal requirements, they’ll stop being valid for use in airports as early as 2018.

What about for voting?