{"meta":{"exportedAt":"2026-10-18T06:51:11.206Z","formatVersion":2,"selection":{"q":"custody","system":"","harm":"","context":"","country":"","role":"","relation":"contextual","evidence":"","year":"","response":"","severity":"","verification":"","view":"incidents","sort":"added"},"totalIncidents":5,"coverage":{"cases":5,"countries":3,"languages":1,"unknownLocation":0,"locationPending":0,"unknownLanguage":0,"unknownDate":0,"lawsuits":2,"regulatory":2,"minors":0,"coreRelations":0,"contextualRelations":5,"mixedRelations":0,"unknownRelations":0,"relationPending":0,"relationUnknown":0},"countingNote":"Distinct public cases in this selection. People counts apply within individual cases only; cross-case person overlap has not been resolved. No population incidence estimate.","affectedCountNote":"Interpret person counts with affectedCountStatus and the reported effects. Unquantified zeros are placeholders, not a measured zero.","source":"AI incidents","publisher":"NOPE","url":"https://nope.net/incidents","license":"CC BY 4.0"},"incidents":[{"id":"2023-reno-peppermill-casino-facial-recognition-misidentification-arrest-killinger-lawsuit","caseFacts":{"claims":[{"id":"c1","status":"reported","evidence":[{"locator":"Complaint, introduction paras 1-3: 'reported that their A.I. facial recognition software positively identified the man as M.E., a man they'; 'The Peppermill’s A.I. software was wrong. It mistakenly identified Plaintiff Jason'; 'gaming at the casino, of being M.E. They handcuffed him, took him to their security office, and'; 'On September 17, 2023, the Peppermill Casino in Reno telephoned the Reno Police'; 'had barred from the casino months earlier for sleeping on the premises.'","relation":"supports","source_id":"s1"},{"locator":"Order, Relevant Background (recounting the complaint): 'security. (Id. at 7-8.) Peppermill’s facial recognition software (“FRS”) identified Plaintiff as'; 'Peppermill’s security handcuffed Plaintiff and placed him in a citizen’s arrest.'; 'In the early morning, Plaintiff was stopped by Peppermill'","relation":"supports","source_id":"s2"},{"locator":"'misidentified by the venue’s AI facial recognition technology as a local reprobate, according to court filings.'","relation":"supports","source_id":"s3"},{"locator":"'Mr. Killinger was arrested because the casino’s facial recognition security camera system alerted to Mr. Killinger being a possible match for another individual who had been banned from the premises.'","relation":"supports","source_id":"s6"}],"assertion":"According to Jason Killinger's federal complaint, in the early hours of 17 September 2023 the Peppermill Casino in Reno reported to police that its AI facial-recognition software had identified him as a man barred from the casino months earlier; the complaint says the identification was wrong and that casino security handcuffed him and held him in its security office.","causal_attribution":"The plaintiff's allegation, relayed by the court in its background recital and by news coverage of the filings. The casino's system is not named in any inspected source."},{"id":"c2","status":"reported","evidence":[{"locator":"Complaint para 5 and para 12: 'recognition software had provided a 100 percent match confirming that KILLINGER was M.E.'; 'fingerprint analysis conclusively established that he was KILLINGER, not M.E. or anyone else.'","relation":"supports","source_id":"s1"},{"locator":"Order, Relevant Background: 'Plaintiff’s driver’s license and Peppermill’s FRS results confirming a 100% match with the'; 'Defendant did not review any additional documentation before handcuffing'; 'At WCDF, Plaintiff’s identity was positively confirmed.'; 'for biometric intake to confirm his identity.'","relation":"supports","source_id":"s2"},{"locator":"'According to court filings, police detained Killinger for identification after receiving the facial recognition alert. Fingerprints later confirmed he was not the person flagged by the system, and he was released.'","relation":"supports","source_id":"s5"}],"assertion":"The complaint alleges that the responding Reno police officer was told the software had produced a 100 percent match, did not examine the other identification Killinger had on him and in his car, and arrested him and took him to the Washoe County jail to establish his identity, where a fingerprint check confirmed who he was.","causal_attribution":"The plaintiff's allegation. The court's March 2026 order recites these facts from the complaint and makes no finding on them; the arrest decision was the officer's."},{"id":"c3","status":"reported","evidence":[{"locator":"Complaint paras 65-73: 'KILLINGER was in handcuffs approximately four hours'; 'in custody at the jail for an additional nine and one-half hours for a total'; 'contusions (bruising) on both wrists.'; 'This does not include the time he was held by the Peppermill before Jager’s arrival.'","relation":"supports","source_id":"s1"},{"locator":"'The truck driver was detained for 11 hours, according to a wrongful arrest lawsuit filed in the US District Court for the District of Nevada.'; 'For four of those hours, he was handcuffed, resulting in bruises and shoulder pain, per the suit.'","relation":"supports","source_id":"s3"}],"assertion":"The complaint states that Killinger was in police and jail custody for about eleven hours, not counting the time casino security held him, was handcuffed for about four hours and was treated at an urgent-care clinic the next day for bruising to both wrists.","causal_attribution":"The plaintiff's allegation."},{"id":"c4","status":"reported","evidence":[{"locator":"Order, Relevant Background (recounting the complaint): 'At the bench trial, a Reno prosecutor dismissed'; 'the charges against Plaintiff but without prejudice to re-charge Plaintiff within the year.'; 'The next day, Plaintiff'; 'was charged with trespassing.'","relation":"supports","source_id":"s2"},{"locator":"Complaint para 19: 'Even though the charge was eventually dismissed, he'; 'now has a criminal record.'; 'He had never been accused of a crime, arrested, or taken to jail.'","relation":"supports","source_id":"s1"}],"assertion":"Killinger was charged with trespassing the day after his release; at the bench trial a Reno prosecutor dismissed the charge without prejudice, and the complaint says the arrest left him, a man with no previous arrests, with a criminal record.","causal_attribution":"The plaintiff's allegation, recited by the court without a finding."},{"id":"c5","status":"reported","evidence":[{"locator":"'The plaintiff has already sued the Peppermill Casino in a case that was settled for an undisclosed amount.'","relation":"supports","source_id":"s3"}],"assertion":"Casino.org reports that Killinger had sued the Peppermill Casino and that the case was settled for an undisclosed amount.","causal_attribution":"Casino.org's report; the settlement terms and any filing against the casino were not inspected."},{"id":"c6","status":"documented","evidence":[{"locator":"Order, Conclusion and Part IV: 'liability claim and denied in part as to Plaintiff’s proposed wrongful arrest claim. Plaintiff'; 'incident and a new claim of municipal liability for policies regarding FRS and handcuffing.'; 'Plaintiff concedes there are no cases in the Ninth Circuit clearly'; 'Since Plaintiff previously conceded that no relevant precedent exists'; 'and fails to respond or rebut his own conclusion with any case law'","relation":"supports","source_id":"s2"},{"locator":"'In a new filing, a district court has granted his request to add the City of Reno as a new defendant in the case, as well as a new municipal liability claim against the city.'","relation":"supports","source_id":"s4"}],"assertion":"In an order of 27 March 2026 the court allowed Killinger to add the City of Reno as a defendant with a municipal liability claim concerning policies on facial recognition software and handcuffing, and refused to let him add a wrongful arrest claim against the officer, holding it futile under qualified immunity because he had earlier conceded that no Ninth Circuit case clearly established that arrests based solely on facial recognition were unlawful and cited no case law in reply.","causal_attribution":"Procedural rulings documented by the order; no finding on the merits."},{"id":"c7","status":"reported","evidence":[{"locator":"Caption page: '[Proposed] Amicus Curiae Brief of the'; 'Support of Plaintiff’s Motion for'; 'Filed 09/21/26'","relation":"supports","source_id":"s7"},{"locator":"'On September 21, 2026, the ACLU, ACLU of Nevada and the Innocence Project filed an amicus brief in the District of Nevada in support of Jason Killinger'; 'The brief asks the court to rule that police lacked probable cause to arrest Mr. Killinger based on a facial recognition technology result'; 'The brief also asks the court to rule that the City of Reno is liable for Mr. Killinger’s wrongful arrest.'; 'failing to provide training to Reno Police Department officers amounts to deliberate indifference'","relation":"supports","source_id":"s6"}],"assertion":"On 21 September 2026 the ACLU, the ACLU of Nevada and the Innocence Project filed a proposed amicus brief (ECF No. 96-1) supporting Killinger's motion for partial summary judgment, asking the court to rule that police lacked probable cause to arrest him on a facial recognition result and that the City of Reno is liable for failing to train its officers.","causal_attribution":"The filing date and the proposed status of the brief come from its caption; the description of its requests is the ACLU's own. No ruling on the motion or on leave to file the brief was found."},{"id":"c8","status":"reported","evidence":[{"locator":"Motion, page 2 and page 18: 'The RPD detective investigated and concluded the Peppermill’s FRT was'; 'were two separate people'; 'had arrested an innocent man.'; 'committed identity theft.'","relation":"supports","source_id":"s8"}],"assertion":"Killinger's motion for partial summary judgment of 12 September 2026 states that after the trespass charge was dismissed the city prosecutor referred the case to a Reno police detective to examine whether he had committed identity theft, and that the detective concluded the casino's facial recognition match was wrong, that he and the barred man were two separate people and that the officer had arrested an innocent man.","causal_attribution":"The plaintiff's motion summarising the detective's deposition (Exhibit 3), which was not itself read; no court has ruled on it."},{"id":"c9","status":"reported","evidence":[{"locator":"Motion, pages 10-11: 'Peppermill from about October 2024 to July 2026.'; 'an alert of 100% on someone who was clearly not the person in the database.'; 'that happen sometimes 12 times on a single shift.'; 'he was told to rely on the alerts not on their identification.'","relation":"supports","source_id":"s8"},{"locator":"'generating as many as 12 false matches with “100% confidence” during a single shift.'; 'worked as a Peppermill security officer from October 2024 until July 2026'","relation":"supports","source_id":"s9"}],"assertion":"The motion cites a declaration by a former Peppermill security officer, employed there from about October 2024 to July 2026, that the system would alert at 100 percent on people who were clearly not the person in its database, sometimes 12 times in a single shift, and that guards were told to rely on the alerts rather than on a person's identification; Casino.org reported the same declaration on 13 October 2026.","causal_attribution":"A former employee's declaration as summarised in the plaintiff's motion and relayed by Casino.org; the security officer started work about a year after Killinger's arrest and describes later practice, not this arrest."},{"id":"c10","status":"reported","evidence":[{"locator":"Motion, page 9: 'track FRT false positives. In those years the casino believed a FRT match of 100% was accurate'; 'Towards the end of 2025 the Peppermill discovered that FRT false positives occur'; '10% of the time.'; page 24: 'Peppermill security director'","relation":"supports","source_id":"s8"}],"assertion":"The motion also cites the Peppermill's security director as testifying that from 2023 to 2025 the casino had no way to track false positives and believed a 100 percent match was accurate, and that toward the end of 2025 it found that false positives occur 10 percent of the time.","causal_attribution":"The plaintiff's summary of a deposition (Exhibit 1) that was not itself read."},{"id":"c11","status":"reported","evidence":[{"locator":"Motion, page 8, quoting the officer in an interrogatory answer: 'Killinger, I had no knowledge that FRT could be inaccurate.'","relation":"supports","source_id":"s8"},{"locator":"'In a separate declaration, he said he had never previously known the Peppermill’s facial recognition system to make an incorrect identification.'","relation":"supports","source_id":"s9"}],"assertion":"The arresting officer has said that before the arrest he had no knowledge that facial recognition could be inaccurate; Casino.org reports that he denies wrongdoing and that in a separate declaration he said he had never known the Peppermill's system to make an incorrect identification.","causal_attribution":"The officer's own statements as quoted by the plaintiff and relayed by Casino.org; his denial of wrongdoing is recorded as counterevidence."}],"effects":[{"label":"handcuffed for about four hours and held in police and jail custody for about eleven hours after a casino's facial recognition system wrongly matched him to a barred man","claim_id":"c3","direction":"negative"},{"label":"prosecuted for trespassing until a prosecutor dismissed the charge without prejudice, leaving an arrest on his record","claim_id":"c4","direction":"negative"}],"sources":[{"id":"s1","url":"https://storage.courtlistener.com/recap/gov.uscourts.nvd.176041/gov.uscourts.nvd.176041.1.0.pdf","kind":"court_filing","access":"read","language":"en","translation_note":"Complaint, Killinger v. Jager, No. 3:25-cv-00388 (D. Nev.), filed 30 July 2025 (ECF No. 1, 31 pages), read in full from the free RECAP copy on 2026-10-04. It sets out the plaintiff's allegations, including quotations he attributes to the officer's body-worn camera; it is not a finding.","independence_group":"killinger-plaintiff-pleadings"},{"id":"s2","url":"https://storage.courtlistener.com/recap/gov.uscourts.nvd.176041/gov.uscourts.nvd.176041.58.0.pdf","kind":"court_order","access":"read","language":"en","translation_note":"Order of 27 March 2026 (ECF No. 58, 10 pages), read in full from the free RECAP copy on 2026-10-04. Its background section states that it relies on the facts alleged in the original complaint, so its factual recital is not an independent finding; its rulings are documented by the order itself.","independence_group":"killinger-court-order-2026-03-27"},{"id":"s3","url":"https://www.casino.org/news/peppermill-renos-facial-recognition-tech-leads-to-wrongful-arrest/","kind":"news_report","access":"read","language":"en","translation_note":"Casino.org, 11 November 2025, read live on 2026-10-04. The article attributes its account to the court filings; it is a derivative of the plaintiff's pleadings for the incident facts.","independence_group":"killinger-plaintiff-pleadings"},{"id":"s4","url":"https://www.kolotv.com/2026/04/08/man-sues-city-reno-over-use-facial-recognition/","kind":"local_tv_news","access":"read","language":"en","translation_note":"KOLO (Reno), 8 April 2026, read live on 2026-10-04 (short item attributed to court documents).","independence_group":"killinger-court-order-2026-03-27"},{"id":"s5","url":"https://mynews4.com/news/local/facial-recognition-lawsuit-raises-questions-about-ai-use-in-policing-nevada-law-enforcement-police-ai-artificial-intelligence-technology-suspects-lawsuit-killinger-v-jager-city-of-reno-peppermill-resort-us-district-court-fourth-amendment","kind":"local_tv_news","access":"read","language":"en","translation_note":"News 4 (Reno, mynews4.com), 14 May 2026, read live on 2026-10-04; attributes the incident account to court filings.","independence_group":"killinger-plaintiff-pleadings"},{"id":"s7","url":"https://assets.aclu.org/live/uploads/2026/09/096-1-Proposed-Amicus-Brief.pdf","kind":"court_filing","access":"read","language":"en","translation_note":"Proposed amicus curiae brief of the ACLU, ACLU of Nevada and Innocence Project, ECF No. 96-1 (Exhibit 1), filed 21 September 2026, 39 pages, from the ACLU's copy; read for its caption and filing details. Its arguments are the amici's, not findings.","independence_group":"aclu-amicus"},{"id":"s6","url":"https://www.aclu.org/cases/killinger-v-jager","kind":"organisation_statement","access":"read","language":"en","translation_note":"ACLU case page (last updated 23 September 2026), read live on 2026-10-04. The ACLU is an amicus supporting the plaintiff; its summary of the arrest relays the litigation record.","independence_group":"aclu-amicus"},{"id":"s8","url":"https://storage.courtlistener.com/recap/gov.uscourts.nvd.176041/gov.uscourts.nvd.176041.95.0.pdf","kind":"court_filing","access":"read","language":"en","translation_note":"Plaintiff's motion for partial summary judgment based on municipal liability, Killinger v. Jager, No. 3:25-cv-00388 (D. Nev.), ECF No. 95, filed 12 September 2026 (31 pages), read in full from the free RECAP copy on 2026-10-14. It is the plaintiff's argument and summarises deposition testimony and declarations filed as exhibits; the exhibits themselves were not available and were not read. It is not a finding.","independence_group":"killinger-plaintiff-pleadings"},{"id":"s9","url":"https://www.casino.org/news/peppermill-casino-facial-recognition-made-12-false-matches-in-one-shift-ex-guard-claims/","kind":"news_report","access":"read","language":"en","translation_note":"Casino.org report of 13 October 2026, read in full on 2026-10-14 (HTTP 200). It reports a former security officer's sworn declaration and the officer's separate declaration from the court filings; it does not say it read the declarations themselves. No translation was needed.","independence_group":"killinger-plaintiff-pleadings"}],"version":1,"ai_roles":["institutional_use"],"contexts":["justice","privacy","everyday_life"],"unknowns":["Which facial recognition product the casino used and what match threshold it applied.","Whether the court has ruled on Killinger's motion for partial summary judgment on municipal liability (ECF No. 95) that the amicus brief supports, and what the City of Reno said in response.","Whether the court has granted Killinger's April 2026 motion for reconsideration (ECF No. 60) or his motion for leave to file a second amended complaint (ECF No. 63).","The terms and date of the reported settlement with the Peppermill Casino.","Whether the officer's deposition admissions, which the March 2026 order mentions without describing, and the amicus brief's statement that Peppermill's records show Reno police arrested at least 16 people on Peppermill facial recognition matches before September 2023 are borne out; neither was tested here.","Whether the detective's conclusion, the security director's 10 percent false-positive figure and the former security officer's account hold up; the record has them only as the plaintiff's motion summarises the depositions and declarations, and the exhibits were not read.","What the October 2026 docket entries that follow the motion (ECF Nos. 112 to 114) say; none could be read."],"geography":{"basis":"The arrest took place at the Peppermill Casino in Reno, Nevada; the complaint states the plaintiff resides in Washoe County, Nevada, and the suit is in the US District Court for the District of Nevada.","court_countries":["US"],"event_countries":["US"],"affected_person_countries":["US"]},"publication":{"basis":"Published as a contextual case: a casino's facial recognition system made a claim about a patron's identity that, according to his federal complaint, was wrong and led to his arrest, about eleven hours in custody and a dismissed trespass prosecution. The incident facts are the plaintiff's allegations, relayed by news coverage of the filings and recited without findings in a court order; the procedural rulings are documented. The plaintiff is named because he sues in his own name; the officer appears only by surname in the case caption, and the barred man, whom the complaint identifies only by initials, is not named. The 2026-10-14 review added the plaintiff's September 2026 summary-judgment motion and an October 2026 Casino.org report; their accounts of a detective's conclusion and a former security officer's declaration are allegations in the plaintiff's filing, and the officer's contrary statement is recorded.","reviewed_on":"2026-10-14"},"ai_involvement":{"basis":"The complaint alleges that the Peppermill Casino's 'A.I. facial recognition software' identified Killinger as a barred man and that casino security and the responding officer relied on its reported 100 percent match; it quotes the officer on body-worn camera describing the casino's 'artificial intelligence software'. The court's March 2026 order recites the facial recognition identification from the complaint without a finding. The vendor and system are not named in any inspected source. The handcuffing, arrest and prosecution decisions were made by casino staff, the officer and prosecutors. Killinger's September 2026 summary-judgment motion adds, from deposition testimony it summarises, that a Reno police detective later concluded the match was wrong, and cites a former casino security officer's declaration, covering his employment from about October 2024 to July 2026, that the system often alerted at 100 percent on the wrong people.","status":"reported"},"person_relations":["made_claim_about"]},"name":"Reno casino's facial recognition wrongly matched a patron to a barred man and police jailed him for about eleven hours, his federal lawsuit alleges","summary":"Jason Killinger, a UPS truck driver, alleges in a federal civil-rights complaint filed in July 2025 that on 17 September 2023 the Peppermill Casino in Reno reported to police that its AI facial recognition software had identified him as a man barred from the casino months earlier. According to the complaint, casino security handcuffed him, and the responding Reno police officer, told the system had found a 100 percent match, did not examine his other identification and took him to jail as an unidentified person, where fingerprints confirmed who he was. The complaint says he was handcuffed for about four hours, starting in the casino security office, spent about eleven hours in police and jail custody, and was treated the next day for bruised wrists. According to the complaint, he was then charged with trespassing, and a prosecutor dismissed the charge without prejudice at the bench trial. Casino.org reports that he settled a suit against the casino. In March 2026 the court let him add the City of Reno and a municipal liability claim over facial recognition policies, but refused a new wrongful arrest claim against the officer on qualified immunity grounds. In September 2026 the ACLU, the ACLU of Nevada and the Innocence Project filed a proposed amicus brief supporting him. His September 2026 motion for partial summary judgment says a Reno police detective later concluded that the match was wrong and that he and the barred man were different people, and it cites a declaration by a former casino security officer, who worked there from about October 2024, that the system often alerted at 100 percent on the wrong people; in a declaration reported by Casino.org, the officer said he had never known the system to misidentify anyone. The case is ongoing.","incidentDate":"2023-09-17","incidentKind":"single_event","incidentDatePrecision":"day","exposurePattern":"single_interaction","reportedDate":"2025-11-11","aiSystem":"Facial recognition software used by the Peppermill Casino's security system in Reno, which the complaint calls 'A.I. facial recognition software'; vendor not named in the inspected sources","aiProduct":"Unidentified facial recognition system","severity":"medium","verificationStatus":"credible","harmCategories":[],"harmOutcomes":["loss_of_liberty","legal_harm","physical_injury","reputational_harm"],"harmOutcomeSummary":"According to his complaint, Killinger was handcuffed for about four hours, arrested and held in police and jail custody for about eleven hours after the casino's facial recognition system wrongly matched him to a barred man; he was bruised by the handcuffs, prosecuted for trespassing until the charge was dismissed without prejudice, and left with an arrest record.","frameworkFacets":[],"causationStatus":"alleged","participantUsersAffectedMin":0,"otherPeopleHarmedMin":1,"affectedCountStatus":"exact","affectedCountEvidence":"One person, the plaintiff, who was arrested and held according to his complaint. Reported allegations about other people arrested on casino facial recognition matches in Reno are not counted.","victimAgeRange":"adult","jurisdiction":"US-NV","platformType":"other","outcomeType":"lawsuit_ongoing","outcomeStatus":"ongoing","primarySourceUrl":"https://storage.courtlistener.com/recap/gov.uscourts.nvd.176041/gov.uscourts.nvd.176041.1.0.pdf","primarySourceLabel":"Killinger v. Jager, No. 3:25-cv-00388 (D. Nev.), complaint, 30 July 2025","firstPublishedAt":"2026-10-04T03:19:04.699044+00:00","updatedAt":"2026-10-14T03:03:41.476658+00:00","scopeVersion":"facts-v3","tags":["facial-recognition","wrongful-arrest","casino","reno","nevada","justice","made-claim-about","lawsuit"]},{"id":"2026-southampton-choudhury-arrested-after-retrospective-facial-recognition-match-milton-keynes-burglary","caseFacts":{"claims":[{"id":"c1","status":"reported","evidence":[{"locator":"was working at the home he shares with his parents in Southampton in January","relation":"supports","source_id":"s1"},{"locator":"handcuffed him and held him in custody for nearly 10 hours before releasing him at 2am.","relation":"supports","source_id":"s1"},{"locator":"On 8 January 2026 Mr Alvi Choudhury was arrested on suspicion of a burglary that had occurred 100 miles away from where he was at the time.","relation":"supports","source_id":"s3"},{"locator":"Choudhury is claiming damages against Thames Valley police and Hampshire constabulary, which executed his arrest.","relation":"supports","source_id":"s1"},{"locator":"But the arresting officers from Hampshire Constabulary didn’t want to know.","relation":"supports","source_id":"s2"}],"assertion":"Alvi Choudhury was arrested at the home he shares with his parents in Southampton on 8 January 2026 on suspicion of a burglary in Milton Keynes, handcuffed and held in custody for nearly 10 hours until released at 2am. Hampshire Constabulary officers carried out the arrest.","causal_attribution":"Event description only. The account comes from Choudhury and his solicitors through the Guardian, Liberty Investigates and a chambers news post. The Thames Valley Police statement quoted by the Guardian treats the arrest as having happened and apologises for the distress caused. The 8 January date appears only in the chambers post (the Guardian says January)."},{"id":"c2","status":"reported","evidence":[{"locator":"Thames Valley police had used automated facial recognition software which matched him with footage of a suspect of a £3,000 burglary 100 miles away in Milton Keynes","relation":"supports","source_id":"s1"},{"locator":"following a retrospective facial recognition match, and was not influenced by racial profiling.","relation":"supports","source_id":"s1"},{"locator":"A week later, after filing a complaint against Thames Valley Police, he found out the full story: he’d been flagged as a possible suspect by an automated facial recognition system.","relation":"supports","source_id":"s2"},{"locator":"UK police forces use an algorithm procured by the Home Office from Cognitec, a German company.","relation":"context","source_id":"s1"}],"assertion":"Thames Valley Police used automated retrospective facial recognition software that matched Choudhury with CCTV footage of a suspect in the Milton Keynes burglary. Choudhury says he learned about a week after the arrest, after filing a complaint, that an automated facial recognition system had flagged him as a possible suspect.","causal_attribution":"The Guardian bases the match on documents shared by Liberty Investigates, which were not inspected. The police spokesperson statement quoted in the same report itself refers to a retrospective facial recognition match. The sources do not state which product, version, threshold or match score applied to this search."},{"id":"c3","status":"reported","evidence":[{"locator":"Thames Valley police said the decision to arrest Choudhury was made after a human visual assessment as well.","relation":"supports","source_id":"s1"},{"locator":"A Thames Valley police spokesperson denied the arrest was unlawful and said: “While we apologise for the distress caused to the complainant in this case","relation":"supports","source_id":"s1"},{"locator":"Facial matches should be treated as intelligence, not fact, according to the National Police Chiefs’ Council.","relation":"supports","source_id":"s1"}],"assertion":"Thames Valley Police told the Guardian that the decision to arrest was made after a human visual assessment as well as the match, denied that the arrest was unlawful and said it was not influenced by racial profiling, and apologised for the distress caused. The Guardian reports the National Police Chiefs’ Council position that facial matches should be treated as intelligence, not fact.","causal_attribution":"A party statement about its own conduct, relayed by the Guardian. It addresses the arrest decision and gives no detail of the match."},{"id":"c4","status":"reported","evidence":[{"locator":"“I was very angry, because the kid looked about 10 years younger than me,” said Choudhury, who wears a beard.","relation":"supports","source_id":"s1"},{"locator":"He offered evidence of work meetings in Southampton on the day of the crime but he was instead taken into custody.","relation":"supports","source_id":"s1"},{"locator":"But Choudhury said officers at the Hampshire police station laughed when he asked: “Does this look anything like me?”","relation":"supports","source_id":"s1"},{"locator":"And he said the Thames Valley police officers who arrived to interview him said “they knew I wasn’t the suspect after looking at footage of the suspect and looking at my picture”.","relation":"supports","source_id":"s1"}],"assertion":"Choudhury says the man in the CCTV footage looked about 10 years younger than Choudhury and had different features, that he offered evidence of work meetings in Southampton on the day of the burglary, that officers at the Hampshire police station laughed when he asked whether the footage looked like him, and that the Thames Valley Police officers who came to interview him said they knew he was not the suspect after looking at the footage and his picture.","causal_attribution":"First-person account relayed by the Guardian. The CCTV footage and the police interview record were not inspected, and no source independent of Choudhury describes the suspect’s appearance or the interview."},{"id":"c5","status":"reported","evidence":[{"locator":"Thames Valley police admitted to Choudhury the arrest “may have been the result of bias within facial recognition technology”.","relation":"supports","source_id":"s1"},{"locator":"Thames Valley Police wrote to Choudhury, acknowledging that his arrest “may have been the result of bias within facial recognition technology”","relation":"supports","source_id":"s2"},{"locator":"as the use of facial recognition is already subject to review at a strategic level, I do not feel the need to raise this issue as part of wider organisational learning","relation":"supports","source_id":"s1"}],"assertion":"Thames Valley Police wrote to Choudhury that the arrest “may have been the result of bias within facial recognition technology”. An officer also told him that, because facial recognition use is already subject to review at a strategic level, the issue would not be raised as part of wider organisational learning.","causal_attribution":"Quotations from a police letter to Choudhury as relayed by the Guardian and Liberty Investigates. The letter itself was not inspected. The wording is conditional (“may have been”)."},{"id":"c6","status":"disputed","evidence":[{"locator":"“I just assumed that the investigative officer saw that I was a brown person with curly hair and decided to arrest me.”","relation":"supports","source_id":"s1"},{"locator":"their arrest was based on the investigating officers’ own visual assessment that the individual matched the suspect in CCTV footage","relation":"supports","source_id":"s1"},{"locator":"Confusingly, however, the force concluded that his arrest was not a case of racial profiling, because officers had made their own assessment of the images before arresting him.","relation":"supports","source_id":"s2"}],"assertion":"Whether the facial recognition match or the officers’ own visual assessment led to the arrest decision, and whether bias in the software contributed, is disputed. Choudhury says he assumed the investigating officer saw a brown person with curly hair and decided to arrest him. Thames Valley Police say the arrest rested on the investigating officers’ own visual assessment following the match and was not influenced by racial profiling, while also acknowledging in writing that the arrest may have been the result of bias within facial recognition technology.","causal_attribution":"Two accounts that conflict on the decisive input to the arrest. Neither the match record nor the officers’ assessment record was inspected."},{"id":"c7","status":"reported","evidence":[{"locator":"His neighbours saw him being led away in handcuffs, his father was very anxious about him being held and he was unable to work the following day, he said.","relation":"supports","source_id":"s1"},{"locator":"He sometimes needs security clearance to work for government clients and he is asked about arrests and said: “This makes me look dodgier and dodgier.”","relation":"supports","source_id":"s1"},{"locator":"Now he has had a second mugshot taken he is afraid the automated system could trigger more wrongful arrests.","relation":"supports","source_id":"s1"},{"locator":"While we apologise for the distress caused to the complainant in this case","relation":"supports","source_id":"s1"}],"assertion":"Choudhury reports that neighbours saw him led away in handcuffs, that his father was very anxious about him being held, and that he was unable to work the following day. He says he sometimes needs security clearance to work for government clients, is asked about arrests, and that “This makes me look dodgier and dodgier”, and that he is afraid the automated system could trigger more arrests now that a second mugshot has been taken.","causal_attribution":"First-person account relayed by the Guardian. The police apology for distress caused is the only independent acknowledgement of an effect. No effect on an actual clearance decision is reported."},{"id":"c8","status":"reported","evidence":[{"locator":"Choudhury’s mugshot was held on the police system only because he had been wrongly arrested in 2021 when he had been attacked on a night out","relation":"supports","source_id":"s1"},{"locator":"The police released him with no further action.","relation":"supports","source_id":"s1"},{"locator":"comparing images taken from sources such as social media and CCTV to a database of more than 19m custody images, or mugshots.","relation":"context","source_id":"s2"}],"assertion":"Choudhury’s image was held on the police system only because of an arrest in 2021 that the Guardian describes as wrongful (he had been attacked on a night out) and that ended with police releasing him with no further action.","causal_attribution":"Background as told by Choudhury to the Guardian. The sources do not state in terms that this custody image was the one returned by the search."},{"id":"c9","status":"reported","evidence":[{"locator":"Choudhury is claiming damages against Thames Valley police and Hampshire constabulary, which executed his arrest.","relation":"supports","source_id":"s1"},{"locator":"after filing a complaint against Thames Valley Police","relation":"supports","source_id":"s2"},{"locator":"to pursue a claim for damages against Thames Valley Police for false imprisonment, breach of data protection law, breach of Art 8 ECHR and breach of the Equality Act 2010.","relation":"supports","source_id":"s3"}],"assertion":"Choudhury filed a complaint against Thames Valley Police and is claiming damages from Thames Valley Police and Hampshire Constabulary. His solicitors have instructed counsel to pursue a claim for damages against Thames Valley Police for false imprisonment, breach of data protection law, breach of Article 8 ECHR and breach of the Equality Act 2010.","causal_attribution":"A complaint and a claim establish only their own existence and the allegations made. No court filing or outcome was found in the inspected sources."},{"id":"c10","status":"documented","evidence":[{"locator":"This is the FR software currently used in the Police National Database (PND) for which the operational use case is Retrospective Facial Recognition (RFR).","relation":"supports","source_id":"s4"},{"locator":"The FPIR for White subjects (0.04 %) is lower than that for Asian subjects (4.0 %)","relation":"supports","source_id":"s4"},{"locator":"At a face-match threshold of 0.8:","relation":"supports","source_id":"s4"}],"assertion":"A National Physical Laboratory report for the Home Office and the Office of the Policing Chief Scientific Adviser (dated October 2025) evaluated Cognitec FaceVACS-DBScan ID v5.5, which it describes as the facial recognition software used in the Police National Database for retrospective facial recognition. At a face-match threshold of 0.8 on its test data it found a false positive identification rate of 4.0 % for Asian subjects and 0.04 % for White subjects.","causal_attribution":"The report establishes the evaluation findings on its own test dataset. It does not state which product version, threshold or settings applied to the search in this case."}],"effects":[{"label":"Arrested at home and held in custody for nearly 10 hours after a police retrospective facial recognition match","claim_id":"c1","direction":"negative"},{"label":"Distress acknowledged by the police, a lost working day and worry about future arrests and security clearance, as reported by Choudhury","claim_id":"c7","direction":"negative"}],"sources":[{"id":"s1","url":"https://www.theguardian.com/technology/2026/feb/25/facial-recognition-error-prompts-police-to-arrest-asian-man-for-burglary-100-miles-away","kind":"news","access":"read","language":"en","translation_note":"","independence_group":"guardian-liberty-investigates-reporting"},{"id":"s2","url":"https://libertyinvestigates.org.uk/articles/the-rise-of-facial-recognition-policing/","kind":"news","access":"read","language":"en","translation_note":"","independence_group":"guardian-liberty-investigates-reporting"},{"id":"s3","url":"https://www.doughtystreet.co.uk/news/automated-facial-recognition-software-innocent-man-arrested","kind":"organisation_statement","access":"read","language":"en","translation_note":"Read through an Internet Archive capture of 22 April 2026 because the site returned HTTP 403 to direct requests.","independence_group":"claimant-legal-team-post"},{"id":"s4","url":"https://assets.publishing.service.gov.uk/media/693002a4cdec734f4dff4149/1a_Cognitec_NPL_Equitability_Report_October_25.pdf","kind":"official_record","access":"read","language":"en","translation_note":"","independence_group":"npl-evaluation-report"}],"version":1,"ai_roles":["institutional_use"],"contexts":["justice","privacy"],"unknowns":["Which product, version, face-match threshold and match score the Thames Valley Police search used is not stated. The National Physical Laboratory report evaluates Cognitec FaceVACS-DBScan ID v5.5 (the Police National Database software) at stated thresholds, and the sources do not say those settings applied here.","The documents shared with the Guardian, the police letter to Choudhury, the CCTV footage and the police interview record were not inspected. All account details come from news reports and a chambers post.","Whether the human visual assessment preceded the arrest request, which force made the request and which force made the decision are stated differently by Choudhury, his solicitors and the police, and no record was inspected.","Whether a court claim was filed and the outcome of the complaint and the damages claim are not reported in any inspected source (the latest inspected reports are dated 1 April 2026).","The date 8 January 2026 comes from the news post of the claimant’s counsel (Internet Archive capture). The Guardian says only January. Distances given by outlets differ (100 miles in the Guardian) and are not material.","The burglary, the burglary suspect and any prosecution are not described in the inspected sources."],"geography":{"basis":"The arrest took place at Choudhury’s home in Southampton and the burglary was in Milton Keynes, both placed in England by the Guardian (Thames Valley Police and Hampshire Constabulary are the forces named). No court proceedings are reported, so court countries are unknown.","court_countries":[],"event_countries":["GB"],"affected_person_countries":["GB"]},"publication":{"basis":"The Guardian article and the Liberty Investigates April feature were read in full from saved bodies. They come from one Liberty Investigates investigation built on an interview with Choudhury, documents shared with the Guardian and police statements, so they count as one reporting chain. The arrest date comes from the claimant’s counsel and the technical context from the National Physical Laboratory report, cited for its own contents. Claims about the arrest stay at reported status, the decisive causal question is recorded as disputed because Thames Valley Police dispute the causal account, and only the contents of the National Physical Laboratory report are recorded as documented. Choudhury is named because he spoke about the arrest under his own name to the Guardian and Liberty Investigates. The burglary suspect is not named or described beyond the reported age difference.","reviewed_on":"2026-09-29"},"ai_involvement":{"basis":"Thames Valley Police’s own statement, quoted by the Guardian, refers to a retrospective facial recognition match preceding the arrest, and the Guardian cites documents shared by Liberty Investigates. The police say the arrest decision rested on the investigating officers’ own visual assessment. Choudhury says the footage showed a man who looked about 10 years younger with different features, and that he assumed the investigating officer decided to arrest him because he is a brown person with curly hair. The police also wrote that the arrest may have been the result of bias within the technology. The weight of the match in the arrest decision is disputed. The sources do not identify the product version, threshold or match score.","status":"supported"},"person_relations":["made_claim_about"]},"name":"Southampton: Alvi Choudhury arrested at home on suspicion of a Milton Keynes burglary after a police retrospective facial recognition match, held nearly 10 hours, claiming damages","summary":"The Guardian, in a joint report with Liberty Investigates, reported on 25 February 2026 that Alvi Choudhury, a 26-year-old software engineer, was arrested at his home in Southampton in January 2026 on suspicion of a £3,000 burglary in Milton Keynes, about 100 miles away, and held in custody for nearly 10 hours. Thames Valley Police had used automated retrospective facial recognition software, which matched him with CCTV footage of the burglary suspect. Choudhury says the man in the footage looked about 10 years younger and had different features. Thames Valley Police wrote to him that the arrest may have been the result of bias within facial recognition technology, and told the Guardian that the decision rested on the investigating officers’ own visual assessment and was not influenced by racial profiling. Choudhury is claiming damages from Thames Valley Police and Hampshire Constabulary.","incidentDate":"2026-01-08","incidentKind":"single_event","incidentDatePrecision":"day","exposurePattern":"single_interaction","reportedDate":"2026-02-25","aiSystem":"Retrospective facial recognition search run by Thames Valley Police (product, version and reference database not stated in the sources)","aiProduct":"Unidentified facial recognition system","aiCompany":"Not stated in the sources for this search (the Guardian says UK police forces use an algorithm procured by the Home Office from Cognitec)","severity":"medium","verificationStatus":"unverified","harmCategories":[],"harmOutcomes":["loss_of_liberty","psychological_distress"],"harmOutcomeSummary":"The Guardian reports Choudhury was handcuffed at home, held for nearly 10 hours and released at 2am, and was unable to work the following day. Choudhury says neighbours saw him led away. Thames Valley Police apologised for the distress caused and deny the arrest was unlawful.","frameworkFacets":[],"causationStatus":"disputed","participantUsersAffectedMin":0,"otherPeopleHarmedMin":1,"affectedCountStatus":"exact","affectedCountEvidence":"One man reported arrested and held. His father, neighbours and the burglary suspect are not counted as harmed.","victimAgeRange":"adult","jurisdiction":"GB","platformType":"other","primarySourceUrl":"https://www.theguardian.com/technology/2026/feb/25/facial-recognition-error-prompts-police-to-arrest-asian-man-for-burglary-100-miles-away","primarySourceLabel":"The Guardian with Liberty Investigates (25 Feb 2026): Facial recognition error prompts police to arrest Asian man for burglary 100 miles away","firstPublishedAt":"2026-09-29T21:15:56.164264+00:00","updatedAt":"2026-09-30T01:17:54.246626+00:00","scopeVersion":"facts-v3","tags":["historical-2026"]},{"id":"2025-stephens-county-oklahoma-judge-chatgpt-fake-citations-paternity-order","caseFacts":{"claims":[{"id":"c1","status":"reported","evidence":[{"locator":"'Wheeler denied a request from one of the parents' attorneys to have the other parent undergo a psychological test—and in his order denying the request, he pointed to multiple previous Oklahoma cases he said backed him up.'","relation":"supports","source_id":"s2"},{"locator":"'The 2025 order in a child paternity case'; 'He came under scrutiny after he reprimanded attorney [the attorney] last November in an order in the paternity case for asking for a psychological evaluation of the child’s father.'","relation":"supports","source_id":"s1"},{"locator":"'The issue came to light after a request for a mental evaluation was denied and a subsequent court order was filed.'","relation":"supports","source_id":"s3"}],"assertion":"In November 2025, in a child paternity and custody case, Judge Wheeler issued an order denying a request by one parent's attorney for a psychological evaluation of the other parent, citing Oklahoma cases he said supported the decision.","causal_attribution":"Court history as reported by The Oklahoman and KFOR and described by the mother; the order itself was not read."},{"id":"c2","status":"reported","evidence":[{"locator":"'The judge told the OSBI he only used ChatGPT for research and created the order himself, DA Jason Hicks wrote. The judge, however, also “indicated that at least two of the case citations included in his order and produced by ChatGPT do not exist.”'","relation":"supports","source_id":"s1"},{"locator":"'Stephens County District Attorney Jason Hicks says Wheeler admitted to OSBI agents he cited \"at least two\" cases ChatGPT fed him that \"do not exist.\"'","relation":"supports","source_id":"s2"},{"locator":"'Hicks wrote that Wheeler acknowledged using case citations generated by ChatGPT and that at least two citations included in the order did not exist.'","relation":"supports","source_id":"s3"},{"locator":"'Associate District Judge Lawrence Wheeler used OpenAI's ChatGPT for research while drafting the order, which cited two cases that do not exist, according to state records.'","relation":"supports","source_id":"s4"}],"assertion":"According to the district attorney's 17 August 2026 letter, the judge told the OSBI that he used ChatGPT for research and wrote the order himself, and indicated that at least two case citations in the order, produced by ChatGPT, do not exist.","causal_attribution":"The judge's own statement to investigators as relayed in the district attorney's letter; all four reports rely on that letter, which was not read. The judge's attorney declined to comment."},{"id":"c3","status":"reported","evidence":[{"locator":"'The judge issued the reprimand “for stooping to such frivolous trial tactics” and cautioned that future similar filings may be subject to further sanctions.'; '[The attorney] challenged the order at the Oklahoma Supreme Court in February. He told justices that Wheeler based his order on two cases, Cummings v. Cimarron Elevator Co. and Hawkins v. Linhart, that do not exist.'; '[The attorney] dismissed his challenge in March after Wheeler vacated the order. Wheeler is no longer involved in the paternity case.'","relation":"supports","source_id":"s1"},{"locator":"'She said her attorney at the time challenged the ruling and began reviewing the legal authorities cited in the order.'","relation":"supports","source_id":"s3"}],"assertion":"The order reprimanded the attorney who had asked for a psychological evaluation of the child's father 'for stooping to such frivolous trial tactics' and warned of further sanctions; that attorney challenged it at the Oklahoma Supreme Court in February 2026, saying it relied on two nonexistent cases, and dismissed the challenge in March after Wheeler vacated the order. The mother told News 9 that her attorney at the time challenged the ruling.","causal_attribution":"The Oklahoman's account of the court filings and the mother's account to News 9; the Supreme Court filings were not read."},{"id":"c4","status":"reported","evidence":[{"locator":"'[The mother] said learning the citations were allegedly fabricated was alarming because the order involved the custody of a child.'; '“Then it became very concerning to me that somebody would do something like that over a child custody case,” she said.'; '“He then turned around and decided to recuse himself from my case,” she said. “He called my attorney that I had at the time and apologized to him.”'","relation":"supports","source_id":"s3"}],"assertion":"The mother told News 9 that learning the citations were allegedly fabricated was alarming because the order involved the custody of a child, and that the judge later recused himself from her case and apologised to her attorney.","causal_attribution":"The mother's first-person account in a broadcast interview."},{"id":"c5","status":"reported","evidence":[{"locator":"'The OSBI investigated the judge at the request of the Oklahoma Council on Judicial Complaints.'; 'The OSBI also looked into allegations “that Judge Wheeler offered to amend the order in exchange for a dismissal of a writ seeking relief from the Oklahoma Supreme Court” and that he “eavesdropped on jury deliberations,” the DA disclosed in the letter.'; 'Prosecutors in the AG’s office “thoroughly reviewed the results of the investigation and determined the evidence does not support a criminal prosecution,” the AG’s press secretary, Leslie Berger, said on Sept. 2.'","relation":"supports","source_id":"s1"},{"locator":"'The Criminal Justice Division of the Attorney General’s Office thoroughly reviewed the results of the investigation and determined the evidence does not support a criminal prosecution. The Oklahoma Supreme Court and the Court on the Judiciary possess ultimate jurisdiction over disciplinary actions for allegations of inappropriate behavior by judges regardless of whether the behavior constitutes a violation of a criminal statute.'","relation":"supports","source_id":"s3"}],"assertion":"The OSBI investigated the judge at the request of the Council on Judicial Complaints, including allegations that he offered to amend the order in exchange for dismissal of the writ and that he eavesdropped on jury deliberations; the attorney general's office said the evidence did not support criminal prosecution and that judicial discipline rests with the Oklahoma Supreme Court and the Court on the Judiciary.","causal_attribution":"District attorney's letter and attorney general's statement as reported; no disciplinary finding has been made."}],"effects":[{"label":"the mother faced an order denying a psychological-evaluation request, with the judge citing authorities reported to have been generated by ChatGPT","claim_id":"c1","direction":"negative"},{"label":"the attorney who requested the evaluation was reprimanded in the order and sought relief from the Oklahoma Supreme Court before the order was vacated","claim_id":"c3","direction":"negative"},{"label":"the mother describes learning of the fabricated citations in her child custody case as alarming","claim_id":"c4","direction":"negative"}],"sources":[{"id":"s1","url":"https://minnlawyer.com/2026/09/09/oklahoma-judge-ai-fabricated-case-citations/","kind":"news_report","access":"read","language":"en","translation_note":"The Oklahoman's report (USA TODAY Network via Reuters Connect) as republished by Minnesota Lawyer; read in full from the Wayback capture of 10 September 2026 because the live page returned 403. Its ChatGPT-admission passages relay the district attorney's letter; its account of the reprimand, the Supreme Court challenge and the vacatur draws on court filings and the attorney. Reinspected in the retained complete English body on 2026-10-06. All sources share the district-attorney-letter chain for AI involvement, so grouped conservatively together; the News 9 maternal interview is separate testimony about her experience, not a second verification of AI use.","independence_group":"wheeler-da-letter"},{"id":"s2","url":"https://www.aol.com/articles/oklahoma-judge-admitted-citing-fake-030000000.html","kind":"news_report","access":"read","language":"en","translation_note":"KFOR (Oklahoma City) report syndicated on AOL, read in full on 2026-09-29. Its account of the ChatGPT admission relays the same district attorney letter. Reinspected in the retained complete English body on 2026-10-06. All sources share the district-attorney-letter chain for AI involvement, so grouped conservatively together; the News 9 maternal interview is separate testimony about her experience, not a second verification of AI use.","independence_group":"wheeler-da-letter"},{"id":"s3","url":"https://www.news9.com/oklahoma-city-news/stephens-county-mother-speaks-out-after-judge-accused-of-using-chatgpt-in-custody-case","kind":"news_report","access":"read","language":"en","translation_note":"News 9 (Griffin Media) interview with the mother, read in full on 2026-09-29. Its description of the ChatGPT admission also relays the district attorney's letter; the mother's own account is independent of it. Reinspected in the retained complete English body on 2026-10-06. All sources share the district-attorney-letter chain for AI involvement, so grouped conservatively together; the News 9 maternal interview is separate testimony about her experience, not a second verification of AI use.","independence_group":"wheeler-da-letter"},{"id":"s4","url":"https://hoodline.com/2026/09/stephens-county-judge-faces-discipline-over-chatgpt-written-court-order/","kind":"news_report","access":"read","language":"en","translation_note":"Hoodline rewrite of the Reuters report, read in full on 2026-09-29. Reuters relays the same district attorney letter. Reinspected in the retained complete English body on 2026-10-06. All sources share the district-attorney-letter chain for AI involvement, so grouped conservatively together; the News 9 maternal interview is separate testimony about her experience, not a second verification of AI use.","independence_group":"wheeler-da-letter"}],"version":1,"ai_roles":["institutional_use"],"contexts":["justice","relationships"],"unknowns":["The text of the order and whether the nonexistent citations were decisive for denying the evaluation and for the reprimand.","Whether any disciplinary proceeding follows from the Council on Judicial Complaints referral.","The current state of the custody case after the vacatur and the judge's departure from it.","The exact day in November 2025 on which the order was issued."],"geography":{"basis":"The Oklahoman, KFOR and News 9 locate the order and proceedings in Stephens County, Oklahoma, and the Oklahoma Supreme Court. These establish the event and court countries as US. News 9 calls the interviewee a Stephens County mother but gives no explicit residence evidence for either counted person, so affected_person_countries is unknown.","court_countries":["US"],"event_countries":["US"],"affected_person_countries":[]},"publication":{"basis":"This reported event connects specific ChatGPT-generated citations to an adverse order issued by a human judge. The Oklahoman and KFOR describe their use in the order, The Oklahoman reports the attorney's reprimand and successful challenge, and News 9 carries the mother's account. The AI admission is reported through one district attorney's letter, not independently verified model output. The family and attorney remain unnamed. No broader custody consequence or disciplinary finding is inferred.","reviewed_on":"2026-10-06"},"ai_involvement":{"basis":"The Oklahoman, KFOR and News 9 relay a district attorney's letter saying the judge acknowledged using ChatGPT for research and incorporating at least two nonexistent citations it produced into his order. The cited authorities were presented in support of the human judge's denial of a requested evaluation and his reprimand of the attorney. This supports informed_decision_about for the affected mother and attorney. It does not establish that ChatGPT itself decided custody or communicated with either of them. The underlying letter and order were not inspected, and whether the citations determined the outcome is unknown.","status":"supported"},"person_relations":["informed_decision_about"]},"name":"Prosecutor: judge used ChatGPT citations in Oklahoma custody order later vacated","summary":"In November 2025 Stephens County Associate District Judge Lawrence Wheeler issued an order in a child paternity and custody case that denied one parent's request for a psychological evaluation of the other parent and reprimanded the requesting parent's attorney 'for stooping to such frivolous trial tactics'. The attorney challenged the order at the Oklahoma Supreme Court in February 2026, telling the justices that it relied on two cases that do not exist; the challenge was dismissed in March after Wheeler vacated the order, and he is no longer on the case. According to a 17 August 2026 letter from the Stephens County district attorney, Wheeler told the Oklahoma State Bureau of Investigation that he used ChatGPT for research and wrote the order himself, and that at least two citations in it produced by ChatGPT do not exist. The mother in the case told News 9 that learning the order's citations were allegedly fabricated was alarming because it concerned the custody of a child. The attorney general's office declined criminal prosecution; judicial discipline remains possible.","incidentDate":"2025-11-01","incidentKind":"single_event","incidentDatePrecision":"month","exposurePattern":"unknown","reportedDate":"2026-09-09","aiSystem":"ChatGPT (OpenAI), used by the judge for legal research while preparing the order","aiProduct":"ChatGPT","aiCompany":"OpenAI","severity":"low","verificationStatus":"credible","harmCategories":[],"harmOutcomes":["legal_harm","professional_harm"],"harmOutcomeSummary":"According to the district attorney's letter as reported by The Oklahoman and KFOR, a judge acknowledged that his custody-case order contained at least two nonexistent citations supplied by ChatGPT. The order denied a request for a psychological evaluation and reprimanded the requesting attorney. The attorney challenged it at the Oklahoma Supreme Court before it was vacated. The mother described the discovery as alarming in a News 9 interview. The order and letter have not been inspected directly.","frameworkFacets":[],"causationStatus":"supported","participantUsersAffectedMin":0,"otherPeopleHarmedMin":2,"affectedCountStatus":"documented_minimum","affectedCountEvidence":"Two people affected through the judge's use of ChatGPT: the mother, whose request for a psychological evaluation was denied by the order and who describes the discovery as alarming (News 9), and the attorney who requested the evaluation and was reprimanded in the order and challenged it at the Oklahoma Supreme Court (The Oklahoman). The child and the other parent are not counted because no harm to them is reported. The judge, the AI user, is not counted: he faces a possible disciplinary process but no sanction has been reported and the complaint bundled other allegations.","victimAgeRange":"adult","jurisdiction":"US-OK","platformType":"assistant","outcomeType":"investigation_opened","outcomeStatus":"ongoing","primarySourceUrl":"https://minnlawyer.com/2026/09/09/oklahoma-judge-ai-fabricated-case-citations/","primarySourceLabel":"The Oklahoman via Minnesota Lawyer, 9 September 2026: judge used ChatGPT citations in custody order","firstPublishedAt":"2026-09-29T09:10:18.787549+00:00","updatedAt":"2026-10-06T04:48:44.069668+00:00","scopeVersion":"facts-v3","tags":["justice","family-court","judge","fabricated-citations","chatgpt","institutional-use","oklahoma"]},{"id":"2026-delhi-police-facial-recognition-jantar-mantar-list-25-in-jail","caseFacts":{"claims":[{"id":"c1","status":"reported","evidence":[{"locator":"'According to the police affidavit submitted on August 17, its FRS identified individuals with criminal records at the protest site'; 'It said that 2,402 people were identified by the Delhi Police'; 'and 471 through criminal records.'; 'No actions are taken solely based upon the result of the facial recognition system which is only the first step to identify a person in the crowd who has a criminal record.'","relation":"supports","source_id":"s1"},{"locator":"'According to the Delhi Police affidavit, 2,402 people were identified through its biometric database, Crime Kundli, while another 471 were identified through criminal records.'","relation":"supports","source_id":"s2"},{"locator":"'The Delhi Police's affidavit of August 17, 2026 told the Supreme Court that 2,873 persons with criminal records had been spotted by the FRS at the protest site.'","relation":"supports","source_id":"s3"}],"assertion":"In an affidavit of 17 August 2026 before the Supreme Court, Delhi Police said its Facial Recognition System had identified 2,873 people with criminal antecedents at the Jantar Mantar protest site between 20 and 26 July 2026, 2,402 through its 'Crime Kundli' biometric database and 471 through criminal records, and that no action is taken solely on an FRS result before field verification.","causal_attribution":"The affidavit as quoted by The Indian Express and relayed by Outlook and IFF; not inspected directly."},{"id":"c2","status":"reported","evidence":[{"locator":"'An investigation of those with serious charges, murder, attempted murder and rape, and child abuse, shows that at least 25 people on the list, identified by the Facial Recognition System (FRS) at Jantar Mantar, were in jail as per police, jail and court records.'; 'In this group, 17 faced charges of murder; four of rape, including two in POCSO cases; and four more of attempt to murder were lodged in Delhi'; 'Court and jail records for all 25 show custody dates precede the protest'","relation":"supports","source_id":"s1"},{"locator":"'At least 25 of the 2,873 people identified by Delhi Police'; 'were already in jail when they were flagged, an investigation of police, prison and court records by The Indian Express has found.'","relation":"supports","source_id":"s2"},{"locator":"'Three were \"identified\" on July 24, twenty-one on July 25 and one on July 26, each with a timestamp.'","relation":"supports","source_id":"s3"}],"assertion":"At least 25 of the 205 listed people facing murder, rape, POCSO or attempted-murder charges were in Tihar, Mandoli or Rohini jails when the FRS logged them at Jantar Mantar (17 murder, four rape of which the Express's narrative counts two and its itemised list three as POCSO cases, four attempted murder), with timestamps on 24, 25 and 26 July 2026 and custody dates that in some cases precede the protest by years.","causal_attribution":"The Indian Express's own check of police, prison and court records (one chain, relayed by Outlook and IFF); the Delhi Police response did not address the 25 cases."},{"id":"c3","status":"reported","evidence":[{"locator":"'On Tuesday, when the Supreme Court quashed all FIRs related to the exam leak protests by students, it let the government proceed against the 2,873 people who the Delhi Police claimed had criminal records'","relation":"supports","source_id":"s1"},{"locator":"'Delhi Police was given permission to register one fresh FIR concerning 2,873 people alleged to have serious criminal antecedents and initially reported to have been present at Jantar Mantar.'; 'The Court did not find that the 2,873 were present, had qualifying criminal records or committed violence.'; 'the order prescribed no method or express requirement that checks precede arrest or other action'","relation":"supports","source_id":"s4"},{"locator":"'On September 1, 2026, a Bench headed by the Chief Justice of India, invoking Article 142, quashed all FIRs registered against students who participated in the July protests'; 'while directing that this should not prejudice their rights and that they must be given every opportunity to defend themselves'","relation":"supports","source_id":"s3"}],"assertion":"On 1 September 2026 the Supreme Court quashed the FIRs against the student protesters but permitted Delhi Police to register a fresh FIR concerning the 2,873 persons with alleged serious antecedents, directing that this should not prejudice their rights, and without a finding that they were present; the undertaking that action would follow field verification is the police's own, and The Federal notes the order prescribed no such requirement.","causal_attribution":"The order as described by the three outlets; not inspected directly."},{"id":"c4","status":"reported","evidence":[{"locator":"'Responding on Monday to a questionnaire from the Express, the Delhi Police said:'; 'During the protests, 2873 individuals identified as prima facie having criminal antecedents were spotted. However, further verification in this regard is pending.'","relation":"supports","source_id":"s1"},{"locator":"'In its response to the Express, the Delhi Police did not address the 25 cases'","relation":"supports","source_id":"s3"}],"assertion":"Responding to The Indian Express, Delhi Police said the 2,873 individuals had been spotted as prima facie having criminal antecedents and that further verification was pending; the response did not address the 25 cases.","causal_attribution":"Police statement as quoted by the Express."},{"id":"c5","status":"reported","evidence":[{"locator":"'In response to a Right to Information (RTI) request in 2022, the police had revealed that it considered a match to be'; 'if its system showed an accuracy rate of 80 per cent.'","relation":"supports","source_id":"s1"},{"locator":"'the Delhi Police disclosed that it treats any match with a similarity score above 80% as \"positive\"'; 'extracted in 2022 only after a Second Appeal before the Central Information Commission'","relation":"supports","source_id":"s3"}],"assertion":"Delhi Police disclosed in 2022, in reply to Right to Information requests, that it treats a facial-recognition match with an 80 per cent similarity or accuracy score as positive.","causal_attribution":"Delhi Police's 2022 RTI replies as described by IFF, which obtained them, and by The Indian Express, which IFF says relies on the same disclosures; one chain. The reply itself was not inspected. IE describes the threshold as an accuracy rate of 80 per cent and IFF as a similarity score above 80 per cent."}],"effects":[{"label":"at least 25 people in judicial custody were logged by the police facial-recognition system as present at a protest and listed in a sworn affidavit of persons with criminal antecedents against whom a fresh FIR and field verification were permitted","claim_id":"c2","direction":"negative"}],"sources":[{"id":"s1","url":"https://indianexpress.com/article/express-exclusive/delhi-police-facial-recognition-jantar-mantar-protest-accused-in-jail-10862099/","kind":"news_report","access":"read","language":"en","translation_note":"Read on 2026-09-24 from an Internet Archive capture of 15 September 2026 (web.archive.org/web/20260915075622id_/...); the live page returns 403 to this host. Express Investigation of 4 September 2026 with the list of the 25 and the police response.","independence_group":"indian-express-investigation"},{"id":"s2","url":"https://www.outlookindia.com/national/jantar-mantar-protest-25-people-flagged-by-facial-recognition-were-in-jail-records-show","kind":"news_report","access":"read","language":"en","translation_note":"Read live on 2026-09-24 (Outlook India, 4 September 2026): relays the Express findings and the affidavit figures; same chain.","independence_group":"indian-express-investigation"},{"id":"s3","url":"https://internetfreedom.in/delhi-polices-facial-recognition-flagged-25-jailed-people-at-jantar-mantar-this-dragnet-must-end/","kind":"other","access":"read","language":"en","translation_note":"Read live on 2026-09-24 (Internet Freedom Foundation, Apar Gupta, 4 September 2026): advocacy analysis that relays the Express findings (same chain for the 25) and adds IFF's own 2022 RTI replies on the 80 per cent threshold, its 24 July 2026 representation and RTI applications.","independence_group":"iff-own-rti"},{"id":"s4","url":"https://thefederal.com/the-federal-special/one-protest-two-probes-why-the-2873-person-fir-raises-questions-255688","kind":"news_report","access":"read","language":"en","translation_note":"Read live on 2026-09-24 (The Federal, 4 September 2026): analysis of the Supreme Court order and the affidavit relying on the Express report; same chain.","independence_group":"indian-express-investigation"}],"version":1,"ai_roles":["institutional_use"],"contexts":["justice","public_services","privacy"],"unknowns":["Whether any of the 25 has been named in the fresh FIR, visited for field verification or otherwise acted against.","Whether the 25 (or the other 2,848 listed people) have been told they are on the list.","How many of the remaining 2,668 entries would fail the same check; the Express examined only the 205 most serious.","The vendor, algorithm and threshold actually applied at Jantar Mantar in July 2026.","The full text of the 17 August affidavit and the 1 September order (described as quoted).","Whether two or three of the four rape accused are POCSO cases: The Indian Express's narrative says two, its itemised list says three.","The protest window: The Indian Express and Outlook give 20 to 26 July; The Federal gives 20 to 25 July."],"geography":{"basis":"The protests and the facial-recognition deployment were at Jantar Mantar, New Delhi; the 25 were in Delhi's Tihar, Mandoli and Rohini prisons; the affidavit and order are in the Supreme Court of India (The Indian Express, IFF, The Federal).","court_countries":["IN"],"event_countries":["IN"],"affected_person_countries":["IN"]},"publication":{"basis":"Published under the 2026-09-15 charter as a contextual case in which an AI system made a consequential claim about identifiable people: a police facial-recognition system placed at least 25 people who were in prison at a protest, on a sworn list that the Supreme Court permitted police to act on. The finding rests on The Indian Express's records investigation (one chain, relayed by Outlook, IFF and The Federal) with the affidavit and order described as quoted; the 80 per cent threshold rests on IFF's 2022 RTI replies, which IFF says the Express also relies on. The listed people are not named.","reviewed_on":"2026-09-24"},"ai_involvement":{"basis":"Delhi Police's own affidavit, as quoted by The Indian Express, attributes the 2,873 identifications to its Facial Recognition System matching faces against the 'Crime Kundli' biometric database and criminal records; the Express's records check shows the system logged at least 25 people who were in custody. The affidavit was not inspected directly.","status":"reported"},"person_relations":["made_claim_about"]},"name":"Delhi: the police facial-recognition system logged at least 25 people who were in Tihar, Mandoli or Rohini jails as present at the Jantar Mantar student protests (20 to 26 July 2026), with timestamps on 24 to 26 July, on a sworn list of 2,873 persons with 'criminal antecedents' that the Supreme Court allowed police to register a fresh FIR against (Indian Express investigation, 4 September 2026)","summary":"In an affidavit of 17 August 2026 before the Supreme Court of India, Delhi Police said its Facial Recognition System (FRS) had identified 2,873 people with criminal antecedents at the Jantar Mantar protests of 20 to 26 July 2026 (2,402 through its 'Crime Kundli' biometric database and 471 through other criminal records). On 1 September the Court quashed the FIRs against the student protesters but let the police proceed against the 2,873; the police say any action will follow field verification. The Indian Express checked the 205 listed people facing murder, attempted-murder, rape or child-sexual-offence charges against police, prison and court records and found that at least 25 of them (17 accused of murder, four of rape (two or three under POCSO; the Express's narrative and its list differ), four of attempted murder) were lodged in Delhi's Tihar, Mandoli or Rohini prisons when the system logged them at the protest site with timestamps on 24, 25 and 26 July; some had been in custody for years. Delhi Police told the newspaper that further verification of the 2,873 was pending and, in its affidavit, that no action is taken solely on a facial-recognition result and that field verification follows each match. The police disclosed in 2022, in reply to a Right to Information request, that it treats a match with an 80 per cent similarity score as positive. Whether any of the 25 has since been named in the fresh FIR or visited for verification is not reported.","incidentDate":"2026-07-24","incidentEndDate":"2026-07-26","incidentKind":"bounded_series","incidentDatePrecision":"range","exposurePattern":"unknown","reportedDate":"2026-09-04","aiSystem":"Delhi Police Facial Recognition System (FRS): face-matching software run on protest footage against the police 'Crime Kundli' biometric database and other criminal records; the vendor and algorithm are not identified in the inspected reporting","aiProduct":"Unidentified facial recognition system","severity":"medium","verificationStatus":"credible","harmCategories":[],"harmOutcomes":["legal_harm"],"harmOutcomeSummary":"At least 25 people in judicial custody were recorded by the police facial-recognition system as present at a protest they could not have attended and were placed, in a sworn affidavit before the Supreme Court, on a list of 2,873 persons with criminal antecedents against whom the Court permitted a fresh FIR and police field verification; The Indian Express reports the misidentifications and the Internet Freedom Foundation describes the exposure to verification visits and prosecution as the harm. No arrest, FIR entry or verification visit of any of the 25 is reported in the inspected sources.","frameworkFacets":[],"causationStatus":"supported","participantUsersAffectedMin":0,"otherPeopleHarmedMin":25,"affectedCountStatus":"documented_minimum","affectedCountEvidence":"The Indian Express states 'at least 25 people on the list' were in jail when logged, and lists them (17 murder, four rape, four attempted murder). The other 2,668 entries were not checked, so the count is a documented minimum of 25.","victimAgeRange":"adult","jurisdiction":"IN","platformType":"other","outcomeType":"investigation_opened","outcomeStatus":"ongoing","primarySourceUrl":"https://indianexpress.com/article/express-exclusive/delhi-police-facial-recognition-jantar-mantar-protest-accused-in-jail-10862099/","primarySourceLabel":"The Indian Express, 4 September 2026: Police say cameras 'caught' murder, rape accused at CJP protest - some were actually in jail (Express Investigation)","firstPublishedAt":"2026-09-24T03:46:45.247544+00:00","updatedAt":"2026-09-30T01:17:35.08761+00:00","scopeVersion":"facts-v3","tags":["facial-recognition","india","delhi","protest-surveillance","supreme-court","police","false-match","made-claim-about","jantar-mantar"]},{"id":"2025-lipps-facial-recognition-wrongful-jailing","caseFacts":{"claims":[{"id":"c1","status":"corroborated","evidence":[{"locator":"Surveillance 'showed woman using a fake US army military ID to withdraw tens of thousands'; the 8-count charge list.","relation":"supports","source_id":"s1"},{"locator":"Zibolski 'acknowledged that investigators made incorrect assumptions based on the West Fargo Police Department's Clearview AI facial recognition technology'.","relation":"supports","source_id":"s4"},{"locator":"Warrant signed 2025-07-01 with nationwide extradition; the chief: the case 'was not solely based on just that one piece'; 'an AI function through the North Dakota State Intelligence Center'.","relation":"supports","source_id":"s2"}],"assertion":"The case began with bank-fraud surveillance of a woman using a fake U.S. Army military ID to withdraw tens of thousands of dollars; an AI facial-recognition identification tied Lipps to that surveillance — recorded by Snopes as the West Fargo Police Department's Clearview AI technology, and by Fargo's chief as 'an AI function through the North Dakota State Intelligence Center... not anything that we own'; a nationwide-extradition warrant was signed on 1 July 2025.","causal_attribution":"The vendor attribution differs between the chains (Clearview per Snopes' reading of the WFPD investigation; the state intelligence center's function per the chief) and is recorded with the discrepancy."},{"id":"c2","status":"corroborated","evidence":[{"locator":"'US marshals arrested Lipps at her Tennessee home while she was babysitting four children... taken away at gunpoint'; 'nearly four months without bail'; bank records 'more than 1,200 miles away in Tennessee'.","relation":"supports","source_id":"s1"},{"locator":"PD timeline: TN waiver 10-20; booked Cass Co. 10-30; bank records presented 12-12; dismissal agreed 12-23; released 12-24.","relation":"supports","source_id":"s2"},{"locator":"Dismissal 'without prejudice... Angela remains a person they are investigating'.","relation":"supports","source_id":"s3"}],"assertion":"U.S. Marshals arrested her at gunpoint at her Tennessee home on 14 July 2025 while she babysat four children; she fought extradition for about three months in a Tennessee jail, was booked into Cass County on 30 October, and was released on 24 December after her bank records showed her more than 1,200 miles away in Tennessee; charges were dismissed without prejudice.","causal_attribution":"The custody timeline is consistent across the Guardian, KVLY's police timeline and Snopes; the dismissal's without-prejudice character comes from KVLY's attorney piece."},{"id":"c3","status":"documented","evidence":[{"locator":"KVLY-obtained email 'showed six Fargo detectives were notified of Lipps' arrest in July — nearly five months before Fargo Police say they knew she was in custody'.","relation":"supports","source_id":"s3"}],"assertion":"An email obtained by KVLY shows six Fargo detectives were notified of her arrest in July 2025 — nearly five months before the department says it learned she was in custody (5 December).","causal_attribution":"KVLY's own document reporting; the department's stated knowledge date comes from its police timeline."},{"id":"c4","status":"corroborated","evidence":[{"locator":"The 'incorrect assumptions' concession (Snopes' reading of the 24 March presser).","relation":"supports","source_id":"s4"},{"locator":"The chief's 'not solely based on just that one piece' and the state-center tool description.","relation":"supports","source_id":"s2"},{"locator":"Stefonowicz's April statement on an apology.","relation":"supports","source_id":"s3"}],"assertion":"Fargo Police Chief Dave Zibolski acknowledged 'incorrect assumptions' linked to the AI identification while insisting the case 'was not solely based on just that one piece'; incoming Chief Stefonowicz said in April that if Ms. Lipps deserves an apology, 'I will absolutely be the first person to reach out'.","causal_attribution":"The concession's exact wording beyond Snopes' paraphrase is unverified; both chiefs' positions are recorded as stated."},{"id":"c5","status":"corroborated","evidence":[{"locator":"'lost her home, her car and her dog.'","relation":"supports","source_id":"s1"},{"locator":"Rice: 'pursuing potential civil rights claims, though no lawsuit has been filed'.","relation":"supports","source_id":"s3"}],"assertion":"She lost her home, her car and her dog; her attorney Eric Rice said he was pursuing potential civil-rights claims, with no lawsuit filed as of 31 March 2026.","causal_attribution":"The losses are from the Guardian's account of her situation; the claim status is the attorney's statement as of 31 March 2026."},{"id":"c6","status":"reported","evidence":[{"locator":"'Angela Lipps, of Elizabethton, Tennessee, filed the federal lawsuit Tuesday in U.S. District Court in North Dakota against the City of Fargo and Fargo Police Department Detective Lucas Heck'; 'The complaint says Heck failed to disclose that the facial recognition result was actually based on a photo from the suspect's fake ID, not the surveillance footage'; 'The lawsuit brings five claims... Lipps is seeking $10 million in damages'; 'These are allegations contained in a civil complaint. No response has been filed as of this writing.'","relation":"supports","source_id":"s5"}],"assertion":"On 15 September 2026 Lipps filed a federal civil-rights lawsuit in the District of North Dakota against the City of Fargo and Detective Lucas Heck seeking $10 million, alleging that he relied on a flawed facial-recognition match based on the suspect's fake-ID photo, ignored exculpatory evidence and failed to disclose that such results are only investigative leads; the suit brings five claims and says the department had no facial-recognition policy or training at the time.","causal_attribution":"The filing and its contents are reported by the same station chain (KVLY) that broke the case; the complaint itself was not inspected, so the claim is recorded as reported rather than documented. The InForum report of the same filing answered HTTP 403."}],"effects":[{"label":"five months wrongfully jailed on an AI facial-recognition identification, with lasting losses","claim_id":"c2","direction":"negative"}],"sources":[{"id":"s1","url":"https://www.theguardian.com/us-news/2026/mar/12/tennessee-grandmother-ai-fraud","kind":"news_report","access":"read","language":"en","translation_note":"Read in English on 2026-09-15 (12 Mar 2026, Marina Dunbar).","independence_group":"guardian"},{"id":"s2","url":"https://www.valleynewslive.com/2026/03/17/chief-zibolski-ai-was-lead-not-only-evidence-wrongful-jail-allegation/","kind":"local_tv_news","access":"read","language":"en","translation_note":"Read in English on 2026-09-15 (17 Mar 2026, Alix Larsen).","independence_group":"kvly"},{"id":"s3","url":"https://www.valleynewslive.com/2026/04/01/attorney-discusses-potential-lawsuit-after-tennessee-grandmother-jailed-by-facial-recognition-error/","kind":"local_tv_news","access":"read","language":"en","translation_note":"Read in English on 2026-09-15 (31 Mar 2026, Ethan Kramer).","independence_group":"kvly"},{"id":"s4","url":"https://www.snopes.com/fact-check/ai-tennessee-woman-jail/","kind":"fact_check","access":"read","language":"en","translation_note":"Read in English on 2026-09-15 (19 Jul 2026, updated 22 Jul; rating True). Aggregates the InForum/WDAY originals (blocked, 403); its Clearview attribution reflects that chain.","independence_group":"snopes"},{"id":"s5","url":"https://www.valleynewslive.com/2026/09/15/tennessee-woman-sues-fargo-ex-detective-over-wrongful-arrest-tied-facial-recognition-error/","kind":"local_tv_news","access":"read","language":"en","translation_note":"Read in English on 2026-09-16 (datePublished 2026-09-15T17:39Z; Valley News Live, which first reported the case in March 2026).","independence_group":"kvly"}],"version":1,"ai_roles":["institutional_use"],"contexts":["justice"],"unknowns":["The InForum original investigation (the first reporting chain) is blocked (403) and was not read; Snopes' and the Guardian's accounts of it are used instead.","The exact wording of the 'incorrect assumptions' concession beyond Snopes' paraphrase is unverified.","The vendor question — Clearview AI (per Snopes) versus the North Dakota State Intelligence Center's AI function (per the chief) — is unresolved.","The woman in the bank-fraud surveillance (the actual suspect) is not reported as identified; the dismissal without prejudice leaves the investigation open.","Her arrest's bail conditions and the custody conditions are not detailed in the inspected sources.","The federal complaint (filed 15 September 2026) was not inspected and its case number is not given in the inspected report; the InForum account of the filing was blocked (403)."],"geography":{"basis":"Event: arrest at her Tennessee home; jailing in Tennessee and Cass County, North Dakota; the underlying bank fraud in the Fargo/West Fargo area. Affected person: Lipps, Tennessee. Court: the Cass County charges (dismissed), North Dakota.","court_countries":["US"],"event_countries":["US"],"affected_person_countries":["US"]},"publication":{"basis":"Published under the 2026-09-15 charter as an institutional automated-decision case (made_decision_about / made_claim_about): an AI facial-recognition identification set five months of wrongful custody in motion, documented by the Guardian, an independent local chain with its own document reporting (KVLY), and a fact-check carrying the blocked original chain. She is named in national coverage; the police chiefs' accounts are preserved as contrary context. Updated 16 September 2026 with the $10 million federal suit filed on 15 September, recorded from the Valley News Live report as a reported claim.","reviewed_on":"2026-09-16"},"ai_involvement":{"basis":"Snopes records the misidentification as based on the West Fargo PD's Clearview AI technology; Fargo's police chief separately describes 'an AI function through the North Dakota State Intelligence Center' and concedes 'incorrect assumptions' while insisting the case was not solely based on that one piece. The vendor attribution (Clearview vs the state center's function) is recorded with the discrepancy.","status":"supported"},"person_relations":["made_decision_about","made_claim_about"]},"name":"Tennessee grandmother Angela Lipps jailed five months on an AI facial-recognition misidentification; charges dismissed after bank records placed her 1,200 miles away","summary":"On 14 July 2025, U.S. Marshals arrested Angela Lipps, a 50-year-old Tennessee grandmother, at gunpoint at her home while she was babysitting four children, on a nationwide-extradition North Dakota warrant: West Fargo police's AI facial-recognition technology had tied her to bank-fraud surveillance of a woman using a fake U.S. Army military ID to withdraw tens of thousands of dollars. She fought extradition for about three months in a Tennessee jail, was booked into Cass County, North Dakota on 30 October 2025 on four counts of unauthorized use of personal identifying information and four counts of theft, and was released on 24 December after her bank records showed her more than 1,200 miles away in Tennessee; charges were dismissed without prejudice. Fargo's police chief acknowledged 'incorrect assumptions' linked to the AI identification; an email obtained by KVLY shows six Fargo detectives were notified of her arrest in July, nearly five months before the department says it knew she was in custody. She lost her home, her car and her dog; her attorneys are pursuing potential civil-rights claims, with no lawsuit filed as of 31 March 2026. On 15 September 2026 she filed a $10 million federal civil-rights suit in the District of North Dakota against the City of Fargo and the detective, alleging he relied on a flawed facial-recognition match and ignored exculpatory evidence.","incidentDate":"2025-07-14","incidentEndDate":"2025-12-24","incidentKind":"bounded_series","incidentDatePrecision":"range","exposurePattern":"single_interaction","reportedDate":"2026-03-12","aiSystem":"Clearview AI facial recognition (per Snopes' account of the West Fargo PD investigation); described by Fargo's chief as 'an AI function through the North Dakota State Intelligence Center'","aiProduct":"Clearview AI facial recognition (reported)","aiCompany":"Clearview AI (vendor per Snopes); North Dakota State Intelligence Center (per Fargo police chief)","severity":"high","verificationStatus":"credible","harmCategories":[],"harmOutcomes":["legal_harm","loss_of_autonomy","reputational_harm","property_loss","psychological_distress"],"harmOutcomeSummary":"Five months jailed on an AI-driven misidentification — arrested at gunpoint while babysitting, held states away from home — ending only when her bank records proved she was 1,200 miles away; she lost her home, car and dog, and the dismissal without prejudice leaves her 'a person they are investigating'.","frameworkFacets":[],"causationStatus":"supported","participantUsersAffectedMin":0,"otherPeopleHarmedMin":1,"affectedCountStatus":"exact","affectedCountEvidence":"One documented harmed person: Lipps, the misidentified defendant (three chains; her attorneys' account). The children she was babysitting are recorded in the narrative but not counted as harmed persons (no harm to them is reported).","victimAgeRange":"adult","jurisdiction":"US","platformType":"other","outcomeType":"lawsuit_filed","outcomeStatus":"ongoing","primarySourceUrl":"https://www.theguardian.com/us-news/2026/mar/12/tennessee-grandmother-ai-fraud","primarySourceLabel":"The Guardian (12 Mar 2026, Marina Dunbar) — the arrest, the custody ordeal, the losses","firstPublishedAt":"2026-09-15T10:28:13.154947+00:00","updatedAt":"2026-09-30T01:17:08.693119+00:00","scopeVersion":"facts-v3","tags":["civil-rights","clearview","facial-recognition","justice","lawsuit","made-claim-about","made-decision-about","north-dakota","tennessee","wrongful-arrest"]}]}