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 ...
Hilarious. Let’s hope Amazon has no plans to use this software for really important stuff.
Hey! Let’s not be so quick to judge this software. Is the author racist or just prejudice. We should investigate to see if the AI is on to something.
Naw. Obviously the machines are racist. /sarc
maybe it didn’t mismatch the photos!
It should. That defines so many politicians.
Falsely? Are we sure?
I mean, truth is what one believes and perceives, right? Who are we to judge what an ugly mutt looks like, or should look like. How does the mutt identify? It could be a perfect match. We don’t know. Let’s give the machine the benefit of the doubt, else its self esteem could be damaged.
“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.”
On behalf of the 5% (1 in 20) wrongly identified by AFRO (Amazon Facial Recognition Omnibus) and detained/beaten/humiliated in front of friends bylaw enforcement...that’s mighty white of you, Massah Bezos.
Tell you what, Jeffro...how about you just put all your Amazon stock in escrow right now, so when the settlements and judgments start rolling we have a pot of loot to start paying out of.
Or did it?
Or did it?
Did the program make a mistake?
Put ‘em in solitary next to Manafort. We can do the trial later.
Will it’s right on with John Lewis ,LOL
Identifying 28 out of a group of 535 criminals isn’t high!
Wrongly???
It will never be perfect, so get used to the bad matches.
OMG! The jokes are going to write themselves.
They did name names
very dark skin and facial recognition don’t work well together - contrast is essential to determining points of reference
Disclaimer: Opinions posted on Free Republic are those of the individual posters and do not necessarily represent the opinion of Free Republic or its management. All materials posted herein are protected by copyright law and the exemption for fair use of copyrighted works.