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Daily Dashboard | ACLU publishes facial-recognition test, calls for Congressional support Related reading: Mixed messaging around progress toward EU-US data transfer solution





In a blog post for the American Civil Liberties Union, Technology and Civil Liberties Attorney Jacob Snow writes that a recent test of Amazon’s facial-recognition tool, Rekognition, to compare images of members of Congress with a database of mugshots resulted in 28 members being incorrectly matched. Snow says that the false matches were disproportionately composed of people of color, adding that in the test, “Nearly 40 percent of Rekognition’s false matches in our test were of people of color, even though they make up only 20 percent of Congress.” Meanwhile, New York Gov. Andrew Cuomo announced cameras equipped with facial-recognition technology were already scanning drivers at bridges and tunnel toll plazas at entry points to New York City with plans to expand the service.
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