A 50-year-old Tennessee grandmother spent nearly six months behind bars after North Dakota authorities used facial recognition software to erroneously identify her as a suspect in a multi-state bank fraud ring.
Angela Lipps was arrested by U.S. Marshals at her home in Tennessee in July 2025. She was held as a fugitive from justice for four months before being extradited to North Dakota, where she faced felony charges including theft and the unauthorized use of personal identifying information. Lipps, who maintained she had never stepped foot in North Dakota, was eventually cleared after her legal team provided digital evidence placing her hundreds of miles away at the time of the crimes.
The Failure of Algorithmic Identification
The investigation began in the spring of 2025 when Fargo Police looked into a series of fraudulent bank withdrawals. A suspect, utilizing a forged U.S. Army military ID, reportedly stole thousands of dollars from local financial institutions between April and May.
Investigators deployed facial recognition software on surveillance footage obtained from the banks. The AI-driven system flagged Lipps as a potential match. Following the software’s prompt, a Fargo detective compared Lipps’ social media photos and driver’s license to the surveillance stills. The detective concluded that Lipps’ facial features, hair, and body type matched the suspect, forming the basis for a criminal warrant.
Lipps remained in a Tennessee county jail without bail for four months awaiting extradition. It was not until she arrived in North Dakota and retained counsel that the case against her began to dissolve.
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Digital Alibis and Investigative Gaps
Lipps’ attorney, Jay Greenwood, successfully argued that a basic review of financial records could have prevented the wrongful incarceration. Greenwood presented bank statements showing Lipps was in Tennessee making routine purchases—including Social Security deposits, gas station transactions, and Uber Eats orders—at the exact moments the fraud was occurring in Fargo.
“The investigation and arrest of Angela relied solely on facial recognition,” Greenwood said in a statement. “The Fargo Police Department did not contact Angela Lipps until I provided them her bank records and arranged an interview with her.”
Lipps was interviewed by North Dakota investigators for the first time on December 19, nearly half a year after her initial arrest. She was released five days later after the charges were dismissed.
Institutional Defense Amid Scrutiny
Despite the dismissal, the Fargo Police Department defended the legality of the initial arrest. In a statement, Fargo Police Chief Dave Zibolski noted that a court had found “probable cause” for the warrant at the time of issuance.
“While the charges were later dismissed without prejudice, that procedural step simply means the charges may be re-filed if additional investigation supports doing so,” Zibolski said. He added that the investigation remains “open and active” regarding all individuals involved in the fraud ring.
Lipps, who was released without financial assistance to return to Tennessee, relied on funds from her defense team to secure a hotel and transportation home.
“I’m just glad it’s over,” Lipps told WDAY News. “I’ll never go back to North Dakota.”
The case adds to a growing national debate regarding the reliability of facial recognition technology in law enforcement, particularly its propensity for “false positives” involving women and people of color. Privacy advocates argue that without secondary corroborating evidence, algorithmic matches are insufficient for depriving citizens of their liberty.
