The face that the new lawsuit shows is officially a civil rights issue


The mistaken arrest of Williams, which was first published by the New York Times In August 2020, Was created on the basis of a bad match to the Detroit Police Department’s face recognition system. Two more For example False arrest Since it has been made public. Both are black people and both have taken legal action to rectify the situation.

Now Williams is on his way and going further – not by suing Detroit police for his wrongful arrest, but by trying to ban technology.

On Tuesday, the ACLU and the Michigan Law School’s Civil Rights Litigation Initiative Lawsuit filed On behalf of Williams, he alleges that his arrest violated Williams’ Fourth Amendment rights and denied Michigan civil rights law.

The lawsuit seeks more transparency regarding compensation, the use of facial recognition, and the Detroit Police Department has stopped using all facial recognition technology, directly or indirectly.

What the case says

The Documents filed Tuesday To sue. In March 2019, DPD ran a granular image of a black man with a red cap from Shinola surveillance video through its facial detection system created by a company called Data Works Plus. The system returns a match with a picture of Williams’ old driver’s license. Investigating officers then included a photo of William’s license as part of the photo line-up and identified Shinola security guard William as a thief. Officers received a warrant, which required multiple signatures of departmental leadership, and Williams was arrested.

The indictment argues that Williams’ false arrest was a direct consequence of the facial recognition procedure and that “this false arrest and imprisonment case exemplifies serious damage and reliance on the misuse of oral recognition technology.”

There are four numbers in the case, three of which focus on the lack of possible causes for arrest and one counts racial discrimination in facial recognition. “It uses technology that has been experimentally proven to misrepresent blacks compared to other groups of people,” it said. Of color. “

Difficulties with facial recognition to identify dark-skinned people Informative. Following the assassination of George Floyd in Minneapolis in 2020, several cities and states announced police bans and suspensions for the use of facial recognition. But many more, including Detroit, continue to use it despite growing concerns.

“Dependent on subpar image”

When MIT Technology Review spoke with Phil Mayer, Williams’ ACLU lawyer, last year, he stressed that racism issues among American law enforcement have used more and more facial recognition.

“It’s not a bad situation for any actor,” Meyer said. “This is a situation where we have a criminal legal system that is extremely significant to charge and very slow in defending the rights of the people, especially when we speak of people of color.”

Eric Williams, a senior staff attorney at Detroit’s Economic Equity Practice, says cameras have many technical limitations, are tightly bound with a range of colors to recognize skin tone, and often can’t process dark skin.

“I think every black person in the country has the experience of being in a photo and the picture has become lighter or darker.”

“I think every black person in the country has the experience of being in a photo and the picture has become lighter or darker,” said Williams, who is a member of the ACLU of Michigan Bar Committee but not working. One of the primary ingredients. So law enforcement is relying a little bit on that.

There are cases that challenge color-based biased algorithms and artificial intelligence technology. Facebook, for example, is included A huge civil rights audit Its targeted advertising algorithms have been found to serve ads based on race, gender and religion. The lawsuit was filed on YouTube Action suits categorized by black makers Who has complained that it is an AI system profile user and discriminates content on the basis of sensors and races. YouTube was also sued by the creators of LGBTQ + who claimed that the content addition system Flagged the terms “gay” and “lesbian”.

Some experts say the use of biased technology in large organizations such as the police was a matter of time until legal challenges were addressed.



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