I was wrongfully arrested because of facial recognition. Why are police allowed to use it?; The Washington Post, June 24, 2020

Robert Williams, The Washington Post; I was wrongfully arrested because of facial recognition. Why are police allowed to use it?

"Federal studies have shown that facial-recognition systems misidentify Asian and black people up to 100 times more often than white people. Why is law enforcement even allowed to use such technology when it obviously doesn’t work?...

Even if this technology does become accurate (at the expense of people like me), I don’t want my daughters’ faces to be part of some government database. I don’t want cops showing up at their door because they were recorded at a protest the government didn’t like. I don’t want this technology automating and worsening the racist policies we’re protesting. I don’t want them to have a police record for something they didn’t do — like I now do."

Wrongfully Accused by an Algorithm; The New York Times, June 24, 2020

Kashmir Hill, The New York Times; Wrongfully Accused by an Algorithm

In what may be the first known case of its kind, a faulty facial recognition match led to a Michigan man’s arrest for a crime he did not commit.

"Clare Garvie, a lawyer at Georgetown University’s Center on Privacy and Technology, has written about problems with the government’s use of facial recognition. She argues that low-quality search images — such as a still image from a grainy surveillance video — should be banned, and that the systems currently in use should be tested rigorously for accuracy and bias.

“There are mediocre algorithms and there are good ones, and law enforcement should only buy the good ones,” Ms. Garvie said.

About Mr. Williams’s experience in Michigan, she added: “I strongly suspect this is not the first case to misidentify someone to arrest them for a crime they didn’t commit. This is just the first time we know about it.”"