Local governments and legislators are pushing back against the deployment of facial recognition technology, citing concerns about accuracy, bias and abuse.
Take the western Massachusetts city of Springfield, a former manufacturing hub where a majority of the 155,000 residents are Latino or black, and where police brutality and misconduct lawsuits have cost the city millions of dollars. Springfield police say they have no plans to deploy facial recognition systems, but some City Council members are moving to block any future government use of the technology anyway.
Clapprood defended the technology and asked the council to trust her to pursue it carefully. “The facial recognition technology does not come along and drop a net from the sky and carry you off to prison,” she said, noting that it could serve as a useful investigative tool by flagging wanted suspects.
Research suggests that facial recognition systems can be accurate, at least under ideal conditions. A review of the industry’s leading facial recognition algorithms by the National Institute of Standards and Technology found they were more than 99% accurate when matching high-quality head shots to a database of other frontal poses.
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