Amazon’s Face Recognition Falsely Matched 28 Members of Congress With Mugshots

By Jacob Snow, Technology & Civil Liberties Attorney, ACLU of Northern California

Amazon’s face surveillance technology is the target of growing opposition nationwide, and today, there are 28 more causes for concern. In a test the ACLU recently conducted of the facial recognition tool, called “Rekognition,” the software incorrectly matched 28 members of Congress, identifying them as other people who have been arrested for a crime.

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Biometric challenges in the age of GDPR

By Michiel van der Veen and Els Kindt.

Finding the right balance between technical, legal and ethical demands.

As the world is quickly moving into the Fourth Industrial Era, more people put more of their personal data and that of their devices online. In this vast digital landscape, a wide range of private companies and government agencies collect, process and (re-)sell this data, and establish digital identities around them. With fingerprints, face recognition and iris scan technology, biometric systems can then authenticate and verify individuals to allow or deny access to a wide array of services. But as always, all these new developments also present a whole new range of ethical, legal and technical difficulties. Overcoming them will be one of the main challenges of our times. 

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Facial Recognition Is Accurate, if You’re a White Guy

By Steve Lohr, The New York Times.

Facial recognition technology is improving by leaps and bounds. Some commercial software can now tell the gender of a person in a photograph.

When the person in the photo is a white man, the software is right 99 percent of the time.

But the darker the skin, the more errors arise — up to nearly 35 percent for images of darker skinned women, according to a new study that breaks fresh ground by measuring how the technology works on people of different races and gender.

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