Members of Congress matched to criminal mugshots by Amazon’s Facial recognition

Facial-Recognition

The ACLU ( American Civil Liberties Union ) recently tested the accuracy of  Amazon’s Facial recognition API. Amazon’s Facial recognition is tested by the United States police for finding the criminals. As a part of testing the system, ACLU scanned 25,000 public mugshots against 535 Congress members. Unfortunately, the result was astonishing as the system 28 false matches of which none of them were in mugshot lineup.

Facial-Recognition

“An identification — whether accurate or not — could cost people their freedom or even their lives,” the Congress group stated in response to this false match.

Initially, the system is being used by some Law enforcement agencies and Orlando police for real-time face recognition. The entire system was provided to at a low cost of $12 through Amazon Web Services. The pilot run by Orlando Police has expired,  but the depart still continue using it.

The latest experiment conducted by ACLU was planned to a partnership Rekognition with Washinton County Sheriff’s Department. The false match now puts ACLU to rethink their decision to adopt the Amazon Face recognition system

   

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Sreejith

Sreejith

Sreejith is a dedicated writer, holding significant experience in major writing domains like web, blogs, articles, templates and online journalism. In addition to being a fine writer, he is an engineer which helps him to explore the news about advanced technologies.

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