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A group of lucky dogs dodged cars and stopped traffic as they made their way across the lanes of Interstate 17 in Phoenix Monday morning.Video from Arizona Department of Transportation cameras showed the pack of six small dogs around 9:55 a.m. local time wandering from the shoulder near Thomas Road across several lanes as cars and trucks slowed to a stop.Department of Public Safety motorcycle troopers could be seen approaching the dogs from behind and ushering them off the freeway at McDowell Road.Luckily, DPS said all six of the pups were taken off the roadway safely. 583

A draft of the much-anticipated report from the Justice Department's internal watchdog, addressing a wide-ranging set of allegations that department protocols were flouted when the FBI investigated Hillary Clinton's handling of classified information, has been completed, according to sources with knowledge of the matter.Inspector General Michael Horowitz informed lawmakers on Capitol Hill Wednesday that his office has provided leadership at the Justice Department and FBI with a copy of the draft report and has requested that they review it for classified information."We will update you on the specific timing for the report's release, and I will be prepared to provide a briefing and testify publicly about our findings and conclusions as soon as the report is released," Horowitz wrote in a letter to members of various committees. 847

A Fond du Lac man who holds the world record for "Most Big Macs Consumed" ate his 30,000th Big Mac on Friday.Don Gorske said he ate his first Big Mac on May 17, 1972, and has enjoyed, on average, two of the sandwiches nearly every day since.“I take that first bite, it was the best thing I had ever tasted in my life,” reads a pamphlet from Gorske that chronicles his hamburger habit.An entry titled “Summer of 1972” reads, “When I’m not at work, or going to McDonalds [sic], I’m at County Stadium, eating a Big Mac while watching the Brewers, or I’m ‘cruising Main Street’ like everybody else."Gorske’s good health can be verified by asking his wife, a nurse practitioner, he writes.“My height is 6’2”, [and] if I try hard, I can get up to 195 pounds,” he writes.There have been eight days that have not included a Big Mac for Gorske since he took that first bite of one in 1972, he wrote. The most recent was November 23, 2011, when McDonald’s was closed for Thanksgiving Day. He thought he had a Big Mac saved in the freezer, but was mistaken.“It’ll never happen again,” he wrote. 1096

A Black man who says he was unjustly arrested because facial recognition technology mistakenly identified him as a suspected shoplifter is calling for a public apology from Detroit police. And for the department to abandon its 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.Related: Detroit demonstrators calling for city to cease use of facial recognition technology“I can’t really even put it into words," Williams said in a video announcement describing the daytime arrest that left his daughters weeping. "It was one of the most shocking things that I ever had happen to me.”The 42-year-old automotive worker, backed by the American Civil Liberties Union, is demanding a public apology, final dismissal of his case and for Detroit police to scrap its use of facial recognition technology. Several studies have shown current face-recognition systems more likely to err when identifying people with darker skin.The ACLU complaint said Detroit police “unthinkingly relied on flawed and racist facial recognition technology without taking reasonable measures to verify the information being provided." It called the resulting investigation “shoddy and incomplete," the officers involved “rude and threatening,” and said the department has dragged its feet responding to public-information requests for relevant records.Detroit police and Wayne County prosecutors didn't immediately return emailed requests for comment Wednesday.Related: Detroit police board votes to approve DPD's use of facial recognition technologyDataWorks Plus, a South Carolina company that provides facial recognition technology to Detroit and the Michigan State Police, also couldn't immediately be reached for comment.Police records show the case began in October 2018 when five expensive watches went missing from the flagship store of Detroit-based luxury watchmaker Shinola. A loss-prevention worker later reviewed the video footage showing the suspect to be a Black man wearing a St. Louis Cardinals baseball cap.“Video and stills were sent to Crime Intel for facial recognition,” says a brief police report. “Facial Recognition came back with a hit" — for Williams.At the top of the facial recognition report, produced by Michigan State Police, was a warning in bold, capitalized letters that the computer's finding should be treated as an investigative lead, not as probable cause for arrest.But Detroit detectives then showed a 6-photo lineup that included Williams to the loss-prevention worker, who positively identified Williams, according to the report. It took months for police to issue an arrest warrant and several more before they called Williams at work and asked him to come to the police department. It's not clear why.Williams said he thought it was a prank call. But they showed up soon after at his house, took him away in handcuffs and detained him overnight. It was during his interrogation the next day that it became clear to him that he was improperly identified by facial recognition software.“The investigating officer looked confused, told Mr. Williams that the computer said it was him but then acknowledged that ‘the computer must have gotten it wrong,’” the ACLU complaint says.Prosecutors later dismissed the case, but without prejudice — meaning they could potentially pursue it again.The case is likely to fuel a movement in Detroit and around the U.S. protesting police brutality, racial injustice and the death of George Floyd at the hands of police in Minneapolis. Detroit activists have presented reforms to the city's mayor and police chief that include defunding the police department and ending its use of facial recognition.Providers of police facial recognition systems often point to research showing they can be accurate when used properly under ideal conditions. A review of the industry’s leading facial recognition algorithms by the National Institute of Standards and Technology found they were more than 99% accurate when matching high-quality head shots to a database of other frontal poses.But trying to identify a face from a video feed — especially using the ceiling-mounted cameras commonly found in stores — can cause accuracy rates to plunge. Studies have also shown that face recognition systems don't perform equally across race, gender and age — working best on white men and with potentially harmful consequences for others.Concerns about bias and growing scrutiny of policing practices following Floyd's death led tech giants IBM, Amazonand Microsoft to announce earlier this month they would stop selling face recognition software to police, at least until Congress can establish guidelines for its use. Several cities, led by San Francisco last year, have banned use of facial recognition by municipal agencies. 5490

A couple has come out of their house and is pointing guns at protesters in their neighborhood #StLouis #lydakrewson pic.twitter.com/ZJ8a553PAU— Daniel Shular (@xshularx) June 29, 2020 191

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