by Jon Schuppe
RESTON, Va. — Picture a crowded street. Police are searching for a
man believed to have committed a violent crime. To find him, they feed a
photograph into a video surveillance network powered by artificial
intelligence.
A camera, one of thousands, scans the street,
instantly analyzing the faces of everyone it sees. Then, an alert: The
algorithms found a match with someone in the crowd. Officers rush to the
scene and take him into custody.
But it turns out the guy isn’t the one they’re looking for ─ he just looked a lot like him. The machines were wrong.
This
is what some makers of this technology fear might happen if police
adopt advanced forms of facial recognition that make it easier to track
wanted criminals, missing people and suspected terrorists ─ while
expanding the government’s ability to secretly monitor the public.
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