田纳西州祖母因人工智能面部识别错误被指控诈骗而入狱。
Tennessee grandmother jailed after AI face recognition error links her to fraud

原始链接: https://www.theguardian.com/us-news/2026/mar/12/tennessee-grandmother-ai-fraud

安吉拉·利普斯,一位来自田纳西州的祖母,因一个有缺陷的人工智能面部识别系统被错误地认定为北达科他州银行诈骗案的嫌疑人。她持枪被捕并入狱近六个月,利普斯始终坚称自己无罪,并表示她从未去过北达科他州。 警方使用该软件将她与使用假身份证盗取数万美元的女性监控录像进行匹配,理由是面部特征和体型相似。至关重要的是,调查人员在逮捕她之前*没有*联系利普斯进行核实。 最终,在她的律师出示了证明她犯罪期间在田纳西州的银行记录后,她被释放了。然而,当局将她滞留在北达科他州,需要慈善机构资助她返回家园。这段经历使利普斯失去了房子、汽车和狗,而且她没有收到法戈警察的道歉。 此案凸显了人们对人工智能面部识别技术的准确性和潜在滥用日益增长的担忧,此前曾发生过类似涉及身份错误和错误指控的事件。

田纳西州的一位祖母因错误的AI面部识别匹配而被错误监禁,该匹配将她与一起欺诈案件联系起来。这个错误持续了六个月才被纠正,引发了Hacker News上关于这项技术不可靠性的讨论。 评论员强调了依赖AI进行身份识别的危险,将其准确性比作测谎仪——基本上在法庭上无法使用。人们对ICE等机构使用面部识别技术表示担忧,指责它们将配额置于准确性之上,可能导致错误的拘留。 几位用户指出面部相似性的普遍性,认为很多人都有“替身”,并强调AI应该与其他身份识别方法*一起*使用,正如NIST所建议的。这起事件加剧了对美国法律体系的批评,并呼吁对被错误指控的人进行赔偿。
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原文

A Tennessee grandmother says she is trying to rebuild her life after an incident of mistaken identity by an artificial intelligence (AI) facial recognition system tied her to a North Dakota bank fraud investigation.

Angela Lipps, 50, spent nearly six months in jail after Fargo police identified her as a suspect in an organized bank fraud case using facial recognition software, according to south-east North Dakota news outlet InForum. Lipps told the outlet she had never been to North Dakota and did not commit the crimes.

Lipps, a mother of three and grandmother of five, said she has lived most of her life in north-central Tennessee. She had never been on an airplane until authorities flew her to North Dakota last year to face charges.

In July, US marshals arrested Lipps at her Tennessee home while she was babysitting four children. She said she was taken away at gunpoint and booked into a county jail as a fugitive from justice from North Dakota.

“I’ve never been to North Dakota, I don’t know anyone from North Dakota,” Lipps told WDAY News.

She remained in a Tennessee jail for nearly four months without bail while awaiting extradition. She was charged with four counts of unauthorized use of personal identifying information and four counts of theft.

According to Fargo police records obtained by WDAY News, detectives investigating bank fraud cases in April and May 2025 reviewed surveillance video of a woman using a fake US army military ID to withdraw tens of thousands of dollars.

The officers allegedly used facial recognition software to identify the suspect as Lipps. A detective reportedly wrote in court documents that Lipps appeared to match the suspect based on facial features, body type and hairstyle.

Lipps told WDAY News that no one from the Fargo police department contacted her before the arrest.

Authorities in North Dakota did not transport Lipps from Tennessee until the end of October, 108 days after her arrest, according to InForum. She appeared in a North Dakota courtroom the next day.

Her attorney, Jay Greenwood, told the outlet: “If the only thing you have is facial recognition, I might want to dig a little deeper.”

Lipps was later released on Christmas Eve after Greenwood obtained her bank records and presented them to investigators. The records showed Lipps was more than 1,200 miles away in Tennessee at the time investigators said the fraud occurred in Fargo.

But Lipps said Fargo police did not pay for her trip home, leaving her stranded. Local defense attorneys helped cover a hotel room and food on Christmas Eve and Christmas Day, and a local non-profit, the F5 Project, was able to help her return to Tennessee, InForum reported.

Lipps is now back home but says the experience has had lasting consequences. While jailed and unable to pay bills, Lipps lost her home, her car and her dog, she said. She also told WDAY News no one from the Fargo police department had apologized.

This is far from the first case of an AI error flagging the wrong suspect. In October, an AI system apparently mistook a Baltimore high school student’s bag of Doritos for a firearm and called local police to tell them the pupil was armed. Taki Allen was sitting with friends outside the Kenwood high school in Baltimore when police officers with guns approached him, made him get on his knees, and handcuffed and searched him – finding nothing.

Earlier this year, police arrested a man in the UK for a burglary in a city he had never visited after face-scanning software confused him with another person of south Asian heritage. Authorities had used automated facial recognition software which matched him with footage of a suspect in a £3,000 burglary 100 miles away.

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