Posted on 07/26/2018 11:45:35 AM PDT by caww
28 members of Congress were wrongly matched to criminal mugshots from a database public mugshot photographs.
In a study by the American Civil Liberties Union, all 535 faces of lawmakers in the House and Senate were scanned against the faces of the 25,000 mugshots, using Amazon’s Rekognition application programming interface.
Included in the list of 28 lawmakers who were falsely identified as criminals were Rep. John Lewis, D-Ga., Sens. John Isakson, R-Ga., and Ed Markey, D-Mass. ACLU also noted that a high percentage of those caught up in the false matches were people of color.
An Amazon spokesperson told the Verge that the faulty matches could be attributed to poor calibration, and the fact that it was using a confidence threshold of 80 percent — the default setting. Amazon recommends that if law enforcement were to use the technology, it should be operating at least at a 95 percent threshold since the results of a false identification could lead to more significant consequences.
“While 80 [percent] confidence is an acceptable threshold for photos of hot dogs, chairs, animals, or other social media use cases, it wouldn’t be appropriate for identifying individuals with a reasonable level of certainty,” the spokesperson said.
(Excerpt) Read more at washingtonexaminer.com ...
Bwahahaha!
Match a Congress Critter to a mobsters nickname.
https://www.ranker.com/list/mafia-nicknames/amylindorff
Or make your own.
Paul Ryan “The Gimp”
“...were people of color”.
Ah, white is a color too you dumb ba$turds!
Only 28!?
Fix'd
Fix'd
Only 28, wow, something wrong with that software.
Exactly!
First thought that came to my mind.
The nature of the evidence is irrelevant! It’s the seriousness of the charge that counts!
Stop abusing Pugs and Rotties !!!
That is pretty interesting. Thanks.
You win the thread.
In real life, the software would not be used in court. It would be used to create a list of suspects worth checking on.
That’s because dark people are dark - facial recognition breaks your face down into a matrix, and uses certain functions that give another matrix of changes in brightness / color as you go across the image. (Like how an acceleration graph is a derivation of speed over time, and speed is a derivation of distance over time.) Dark people don’t have much shadow as you go across the face, the skin is already dark so it’s difficult to establish markers to make those comparisons with.
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