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A Tennessee woman, Angela Lipps, was wrongly arrested and jailed for nearly six months after investigators in Fargo, North Dakota, used facial recognition software to identify her as a suspect in a bank fraud case despite her having never been to the state. Police investigating fraudulent bank withdrawals involving a fake U.S. Army ID matched surveillance footage to Lipps, then relied on comparisons with her driver's license and social media photos before U.S. Marshals arrested her at gunpoint in Tennessee while she was babysitting children.
The case unraveled only after Lipps obtained legal representation and her attorney produced bank records and transaction logs showing she was in Tennessee at the time of the alleged crimes, more than 1,200 miles away. The reporting presents the incident as another example of AI-driven facial recognition being used without sufficient investigative verification, leading to a severe wrongful detention with major personal consequences, including prolonged incarceration and significant disruption to her life.
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By 2026-03-30, Fargo Police Chief Dave Zibolski said he had been unaware investigators used Clearview AI in the Lipps case and that he would not have allowed it. The department has since prohibited use of the facial recognition tool.
On 2025-12-24, prosecutors dropped the charges against Angela Lipps and she was released after spending nearly six months jailed. The dismissal followed presentation of records showing she could not have been in North Dakota at the time of the alleged fraud.
During the ensuing extradition proceedings, Lipps' attorney obtained bank records and transaction logs showing she was in Tennessee when the fraud occurred. The evidence undermined the facial recognition-based case and prompted review of the charges.
On 2025-07-14, U.S. Marshals arrested Angela Lipps at her Tennessee home based on the North Dakota warrant. Authorities had not contacted her beforehand or verified readily available exculpatory evidence, despite her being more than 1,200 miles from the alleged crime scene.
In July 2025, Fargo, North Dakota, investigators used facial recognition software to identify Tennessee resident Angela Lipps as a suspect in a bank fraud case. A detective then reinforced the identification by visually comparing surveillance images with her driver's license and social media photos.
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The ACLU and ACLU of Maryland said Kimberlee Williams, an Oklahoma woman, was wrongfully arrested and jailed for six months after Maryland police relied on an erroneous facial recognition match in a bank fraud investigation. According to the groups, an image of an unknown suspect was circulated on the Crimedex listserv, an outside party returned Williams’ name as a supposed match, and Montgomery County police sought an arrest warrant without independently corroborating the identification while allegedly failing to disclose to the court that facial recognition had been used. Williams said she had never been to Maryland, and charges tied to cases in Montgomery County, Prince George’s County, and Anne Arundel County were later dismissed in 2021. The civil liberties groups have sent letters to the three Maryland police departments demanding investigations, public apologies, and reforms to limit police use of facial recognition and overbroad digital search practices. They said Williams is the **14th publicly known** person in the United States to be wrongfully arrested because of police reliance on facial recognition technology and the **second known case in Maryland**, citing broader concerns that false matches disproportionately affect people of color, women, older people, and young people, as well as a 2024 Detroit settlement in the wrongful arrest case of Robert Williams as a related precedent.
Jun 29, 2026
US immigration enforcement operations in and around Minneapolis have drawn scrutiny over the use of **facial recognition** and other surveillance technologies against US residents, including protesters. Reporting describes ICE and other DHS components using tools such as the face-scanning app **Mobile Fortify**, **Clearview AI**, and **Palantir** systems to process tips and support identification and targeting workflows; coverage also notes broader government interest in commercial ad-tech and big-data tooling for law-enforcement and surveillance use cases. One account describes a protester alleging her **Global Entry** status was revoked after an encounter in which an agent scanned her face, and cites claims that multiple US citizens were recorded with facial recognition without consent. While these reports raise civil liberties and governance concerns with potential security implications (biometric collection, data sharing, and surveillance infrastructure), separate coverage about the administration’s anti-fraud rhetoric and inspector general staffing changes does not materially address the same surveillance-technology event and is not directly tied to the facial-recognition enforcement reporting.
Jun 29, 2026
An Institute for Justice review found at least **24 reported cases** in recent years in which U.S. law enforcement officers allegedly used automatic license plate reader (**ALPR**) systems to track romantic partners, ex-partners, family members, or women they were interested in. The reported misuse involved police access to vehicle-location data through departmental ALPR tools and broader camera-sharing networks, including systems associated with **Flock Safety**, allowing officers to monitor targets outside legitimate investigative purposes. The cases point to a wider pattern of surveillance abuse tied to expanding police access to private and public camera feeds, with many incidents emerging since 2024. In numerous cases, officers were fired, resigned, retired, or faced criminal charges, but some reportedly saw no criminal consequences, and many abuses were uncovered only after victims complained rather than through internal audits, raising concerns about weak oversight by both law enforcement agencies and surveillance technology vendors.
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