Amazon’s Facial Recognition Wrongly Identifies 28 Lawmakers, A.C.L.U. Says

The errors emerged as part of a test by the A.C.L.U. that compared the photos of all federal lawmakers against a database of 25,000 publicly available mug shots.The errors emerged as part of a test by the A.C.L.U. that compared the photos of all federal lawmakers against a database of 25,000 publicly available mug shots. https://ift.tt/2vaKuam The New York Times The errors emerged as part of a test by the A.C.L.U. that compared the photos of all federal lawmakers against a database of 25,000 publicly available mug shots. https://ift.tt/2NNLd8L The errors emerged as part of a test by the A.C.L.U. that compared the photos of all federal lawmakers against a database of 25,000 publicly available mug shots.
By NATASHA SINGER from NYT Technology https://ift.tt/2NNLd8L
via IFTTT