{"meta":{"exportedAt":"2026-10-18T07:06:14.857Z","formatVersion":2,"selection":{"q":"custody","system":"","harm":"","context":"","country":"","role":"","relation":"","evidence":"","year":"","response":"lawsuit","severity":"","verification":"","view":"incidents","sort":"added"},"totalIncidents":3,"coverage":{"cases":3,"countries":1,"languages":1,"unknownLocation":1,"locationPending":0,"unknownLanguage":0,"unknownDate":0,"lawsuits":3,"regulatory":0,"minors":0,"coreRelations":1,"contextualRelations":2,"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":"2025-gujarat-high-court-order-records-wife-saying-husbands-heavy-chatgpt-use-fed-fabricated-narratives-and-marital-discord","caseFacts":{"claims":[{"id":"c1","status":"reported","evidence":[{"locator":"'During January 2025, the petitioner husband developed a habit of extensively using ChatGPT even for minor and routine manner and would repeatedly engaged with the said platform and gradually husband started forming and fabricating various narratives, which further affected his behaviour and inter-personal relationship with the wife and contributed to the increasing matrimonial discord between the parties.'; 'In her reply, she set out allegations that later became central to High Court’s reading of the dispute.'","relation":"supports","source_id":"s1"}],"assertion":"The Gujarat High Court order, drawing on the wife's reply and the record, says that from January 2025 the husband used ChatGPT extensively even for minor and routine matters, gradually formed and fabricated various narratives, and that this affected his behaviour and their relationship and contributed to increasing matrimonial discord.","causal_attribution":"Reported: the Times of India quotes the order, which rests on the wife's allegations. The husband's response is not reported and the court said the disputed facts need a full inquiry, so the causal link between ChatGPT use and the discord is alleged."},{"id":"c2","status":"reported","evidence":[{"locator":"'shows that this is nothing but the husband’s excessive dependence upon ChatGPT.'","relation":"supports","source_id":"s1"}],"assertion":"The court itself observed that words the husband used showed his excessive dependence on ChatGPT.","causal_attribution":"The observation is the court's, as quoted by the Times of India; it characterises his dependence and does not find that ChatGPT caused the discord."},{"id":"c3","status":"reported","evidence":[{"locator":"'in April 2025. A month later, the wife raised concerns with the husband and his family, requesting him to cut down his use of ChatGPT.'; 'However, behaviour of the husband was not changed and thereafter despite extensive counselling and medication, the doctor informed that the husband is suffering from'","relation":"supports","source_id":"s1"}],"assertion":"In 2025 the wife asked him and his family for him to cut down his ChatGPT use; the order records that his behaviour did not change and that, despite counselling and medication, a doctor diagnosed a mental illness.","causal_attribution":"Reported from the order. No source connects the diagnosis causally to ChatGPT use."},{"id":"c4","status":"reported","evidence":[{"locator":"'In May this year, the wife left the matrimonial home. She took the child away in August, after which the husband issued a legal notice demanding the child’s return.'; 'HC, however, declined to intervene, holding that custody with the mother could not be termed illegal and that any custody change would require a fuller inquiry before a competent court.'","relation":"supports","source_id":"s1"}],"assertion":"The wife left the matrimonial home in May 2026 and took their daughter in August; the High Court rejected the husband's habeas corpus petition, holding that custody with the mother was not illegal and that the dispute needs a full inquiry by a competent court.","causal_attribution":"Reported by the Times of India: the ruling is quoted from the order, and the departure dates are the paper's narrative; 'this year' in an article of 18 October 2026 is 2026."}],"effects":[{"label":"marital discord and separation that the wife's account, recorded in the order, links to the husband's heavy ChatGPT use (alleged)","claim_id":"c1","direction":"negative"}],"sources":[{"id":"s1","url":"https://timesofindia.indiatimes.com/city/ahmedabad/in-custody-row-hc-cites-husbands-excessive-dependence-on-chatgpt/articleshow/135019685.cms","kind":"news_report","access":"read","language":"en","translation_note":"Read in English on 2026-10-18 by the research agent (an AI); no translation was needed. The Times of India court reporter's account quotes the Gujarat High Court order; the order itself was not read.","independence_group":"times-of-india-gujarat-high-court-custody-order"}],"version":1,"ai_roles":["own_use","others_use"],"contexts":["relationships","justice","everyday_life"],"unknowns":["What ChatGPT said to the husband and what the narratives were about.","The husband's response to the wife's account.","The order's date, the bench and the order text.","Whether the custody question has been taken to a family court."],"geography":{"basis":"The Gujarat High Court decided the petition; the Times of India describes the husband as based in a Gujarat city. The article does not say where the matrimonial home was or where the ChatGPT use took place, so no event country is recorded.","court_countries":["IN"],"event_countries":[],"affected_person_countries":["IN"]},"publication":{"basis":"Published as a core case (communicated_with): a High Court order, as quoted by the Times of India, records the wife's account that her husband's heavy ChatGPT use from January 2025 fed fabricated narratives and marital discord before she left with their daughter, and the court observed his excessive dependence on ChatGPT. One reporting chain; the causal account is alleged.","reviewed_on":"2026-10-18"},"ai_involvement":{"basis":"The Gujarat High Court order, as quoted by the Times of India, describes the husband's repeated exchanges with ChatGPT from January 2025, even for minor and routine matters, and connects them to his forming and fabricating narratives, his changed behaviour and the growing matrimonial discord; the court itself observed that his words showed excessive dependence on ChatGPT. This is the person's exchanges with the chatbot connected to the harm (communicated_with). What ChatGPT said is not described, and the account rests on the wife's allegations.","status":"reported"},"person_relations":["communicated_with"]},"name":"Gujarat High Court order records a wife's account that her husband's heavy ChatGPT use fed fabricated narratives and marital discord; his custody plea rejected","summary":"According to a Gujarat High Court order quoted by the Times of India, a man began using ChatGPT extensively in January 2025, even for minor and routine matters. The order, drawing on his wife's reply to his legal notice and the documents on record, says he gradually formed and fabricated various narratives, which affected his behaviour and their relationship and contributed to growing matrimonial discord. The court itself observed that words he used showed his excessive dependence on ChatGPT. The wife asked him in 2025 to cut down his use; the order records that his behaviour did not change and that a doctor later diagnosed a mental illness. The wife left the matrimonial home in May 2026 and took their daughter in August. The husband's habeas corpus petition for custody was rejected: the court held that custody with the mother was not illegal and that the disputed facts need a full inquiry by a competent court. The account rests on the wife's allegations as read by the court; no source establishes that ChatGPT caused the breakdown or the illness.","incidentDate":"2025-01-01","incidentKind":"ongoing_experience","incidentDatePrecision":"month","exposurePattern":"repeated_interactions","reportedDate":"2026-10-18","aiSystem":"ChatGPT, which the Gujarat High Court order, as quoted by the Times of India, says the husband used extensively from January 2025, even for minor and routine matters","aiProduct":"ChatGPT (reported)","severity":"medium","verificationStatus":"credible","harmCategories":[],"harmOutcomes":["relationship_disruption"],"harmOutcomeSummary":"According to the Gujarat High Court order as reported, the wife's account links her husband's heavy ChatGPT use from January 2025 to fabricated narratives, changed behaviour and growing marital discord; she left with their daughter in 2026 and his custody petition was rejected.","frameworkFacets":[],"pathwayDirection":"both","causationStatus":"alleged","participantUsersAffectedMin":1,"otherPeopleHarmedMin":1,"affectedCountStatus":"documented_minimum","affectedCountEvidence":"Documented minimum of two: the husband who used ChatGPT and the wife whose marriage the order describes as affected by the discord. The daughter is not described as harmed and is not counted.","victimAgeRange":"adult","jurisdiction":"IN","platformType":"chatbot","outcomeType":"lawsuit_dismissed","outcomeStatus":"resolved","primarySourceUrl":"https://timesofindia.indiatimes.com/city/ahmedabad/in-custody-row-hc-cites-husbands-excessive-dependence-on-chatgpt/articleshow/135019685.cms","primarySourceLabel":"Times of India, 18 October 2026: In custody row, HC cites husband's excessive dependence on ChatGPT","firstPublishedAt":"2026-10-18T03:03:45.36224+00:00","updatedAt":"2026-10-18T03:03:45.36224+00:00","scopeVersion":"facts-v3","tags":["chatgpt","relationship-disruption","marital-discord","custody","habeas-corpus","court-order","gujarat","india","communicated-with"]},{"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":"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"]}]}