detroit police
Detroit changes rules for police use of facial recognition after wrongful arrest of Black man
The city of Detroit has agreed to pay 300,000 to a Black man who was wrongly arrested for shoplifting and to also change how police use facial recognition technology to solve crimes after the software identified him as a suspect. The conditions are part of a lawsuit settlement with Robert Williams. His driver's license photo was incorrectly flagged by facial recognition software as a likely match to a man seen on security video at a Shinola watch store in 2018. "We are extremely excited that going forward there will be more safeguards on the use of this technology with our hope being to live in a better world because of it," Williams told reporters, "even though what we would like for them to do is not use it at all." The agreement was announced Friday by the American Civil Liberties Union and the civil rights litigation initiative at University of Michigan Law School.
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Detroit police can no longer use facial recognition results as the sole basis for arrests
The Detroit Police Department has to adopt new rules curbing its reliance on facial recognition technology after the city reached a settlement this week with Robert Williams, a Black man who was wrongfully arrested in 2020 due to a false face match. It's not an all-out ban on the technology, though, and the court's jurisdiction to enforce the agreement only extends four years. Under the new restrictions, which the ACLU is calling the strongest such policies for law enforcement in the country, police cannot make arrests based solely on facial recognition results or conduct a lineup based only on facial recognition leads. Williams was arrested after facial recognition technology flagged his expired driver's license photo as a possible match for the identity of an alleged shoplifter, which police then used to construct a photo lineup. He was arrested at his home, in front of his family, which he says "completely upended my life."
AI facial recognition led to 8-month pregnant woman's wrongful carjacking arrest in front of kids: lawsuit
Fox News correspondent Gillian Turner has the latest on the president's focus amid calls for an impeachment inquiry on "Special Report." Six police officers swarmed Porcha Woodruff's Detroit home before 8 a.m. one morning in February while she was getting her 12- and 6-year-old kids ready for school, the federal lawsuit says. "I have a warrant for your arrest, step outside," one of the officers told Woodruff, who initially thought it was a joke, according to the lawsuit. Officers told her she was being arrested for robbery and carjacking. Do you see that I am eight months pregnant?"
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AI's facial recognition failures: Three times crime solving intelligence got it wrong
Fox News correspondent Matt Finn has the latest on the impact of AI technology that some say could outpace humans on'Special Report.' Law enforcement's use of artifical intelligence-driven facial recognition puts everyone into what one expert called a "perpetual police line-up," and studies show it's more likely the finger will be pointed at the wrong person if they're Black or Asian. "Whenever they have a photo of a suspect, they will compare it to your face," said Matthew Guariglia, from the nonprofit digital rights group Electronic Frontier Foundation, told the BBC. The technology's use in police investigations boomed in recent years, particularly after the Jan. 6 Capitol riot. Twenty out of 42 federal agencies that were surveyed by the Government Accountability Office in 2021 reported they use facial recognition in criminal investigations.
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Wrongfully arrested man sues Detroit police over false facial recognition match
The Detroit department is also among hundreds of police agencies that have used Clearview AI, a facial recognition tool that searches through a large database of photos taken from across the Internet, according to a BuzzFeed News report earlier this month based on data from a confidential source. Neither the Detroit police nor Clearview have confirmed the report, and it does not appear Clearview was used in Williams's case.
Facial recognition linked to a second wrongful arrest by Detroit police
A false facial recognition match has led to the arrest of another innocent person. According to the Detroit Free Press, police in the city arrested a man for allegedly reaching into a person's car, taking their phone and throwing it, breaking the case and damaging the screen in the process. Facial recognition flagged Michael Oliver as a possible suspect, and the victim identified him in a photo lineup as the person who damaged their phone. Oliver was charged with a felony count of larceny over the May 2019 incident. He said he didn't commit the crime and the evidence supported his claim.
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Wrongful arrest
The high-profile case of a Black man wrongly arrested this year wasn't the first misidentification linked to controversial facial recognition technology used by Detroit police, the Free Press has learned. Last year, a 25-year-old Detroit man was wrongly accused of a felony for supposedly reaching into a teacher's vehicle, grabbing a cellphone and throwing it, cracking the screen and breaking the case. Detroit police used facial recognition technology in that investigation, too. It identified Michael Oliver as an investigative lead. After that hit, the teacher whose phone was snatched from his hands identified Oliver in a photo lineup as the person responsible.
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Controversial Detroit facial recognition got him arrested for a crime he didn't commit
The high-profile case of a Black man wrongly arrested earlier this year wasn't the first misidentification linked to controversial facial recognition technology used by Detroit police, the Free Press has learned. Last year, a 25-year-old Detroit man was wrongly accused of a felony for supposedly reaching into a teacher's vehicle, grabbing a cell phone and throwing it, cracking the screen and breaking the case. Detroit police used facial recognition technology in that investigation, too. It identified Michael Oliver as an investigative lead. After that hit, the teacher who had his phone snatched from his hands identified Oliver in a photo lineup as the person responsible.
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Detroit police challenged over face recognition flaws, bias
A Black man who was wrongfully arrested when facial recognition technology mistakenly identified him as a suspected shoplifter wants Detroit police to apologize -- and to end their use of the controversial technology. The complaint by Robert Williams is a rare challenge from someone who not only experienced an erroneous face recognition hit, but was able to discover that it was responsible for his subsequent legal troubles. The Wednesday complaint filed on Williams' behalf alleges that his Michigan driver license photo -- kept in a statewide image repository -- was incorrectly flagged as a likely match to a shoplifting suspect. Investigators had scanned grainy surveillance camera footage of an alleged 2018 theft inside a Shinola watch store in midtown Detroit, police records show. That led to what Williams describes as a humiliating January arrest in front of his wife and young daughters on their front lawn in the Detroit suburb of Farmington Hills.
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Rashida Tlaib calls for ban on facial recognition tech after telling Detroit police to hire only black analysts
Police chief calls Tlaib's comments racist; Democratic strategist Monique Pressley and Blexit Movement founder Candace Owens react. Rep. Rashida Tlaib, D-Mich., last week responded to backlash after she told Detroit police to hire only black facial recognition analysts, writing in a scathing op-ed that her comments were neither "racist" nor "inappropriate" and pushed further for a total ban of the technology used to identify criminal suspects. "I'm going to call out every injustice I see. It's probably what makes most people uncomfortable when I speak the truth," Tlaib wrote in an op-ed in The Detroit News. It is inappropriate to implement a broken, flawed and racist technology that doesn't recognize black and brown faces in a city that is over 80% black." "I was elected to serve my residents, and I cannot in good conscience sit by while inaccurate facial recognition technology is deployed in ways that run the risk of false arrests and over-policing," she continued. "Facial recognition technology will have racist results and relying on human analysts for intervention is inadequate.