Amazon’s Facial Recognition Misidentifies 28 Lawmakers in New Study

A recent study commissioned by the American Civil Liberties Union of Northern California found a number of inaccuracies with Amazon’s facial recognition technology which was said to have disproportionately put people of color at risk.

During testing, Amazon’s Rekognition technology misidentified 28 members of Congress as people arrested for a crime. However, the technology is already being used by law enforcement in Oregon and Orlando.

The ACLU said that the findings should prompt regulators to stop the use of face surveillance by law enforcement. Two months before the study, the Congressional Black Caucus had already written to Amazon saying that they were “troubled by the profound negative unintended consequences this form of artificial intelligence could have for African Americans, undocumented immigrants, and protestors.”

Source: Washington Post

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