{"meta":{"exportedAt":"2026-11-07T02:55:53.193Z","formatVersion":2,"selection":{"q":"privacy","system":"","harm":"","context":"","country":"","role":"","relation":"contextual","evidence":"","year":"2023","response":"","severity":"","verification":"","view":"incidents","sort":"added"},"totalIncidents":2,"coverage":{"cases":2,"countries":2,"languages":1,"unknownLocation":0,"locationPending":0,"unknownLanguage":0,"unknownDate":0,"lawsuits":1,"regulatory":1,"minors":0,"coreRelations":0,"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":"2023-victoria-child-protection-worker-entered-family-information-into-chatgpt-for-court-report-regulator-finds","caseFacts":{"claims":[{"id":"c1","status":"documented","evidence":[{"locator":"Report: 'The Deputy Commissioner therefore found that DFFH contravened both IPP 3.1 and IPP 4.1 and determined that the contraventions were “serious”'; 'Issue a direction to Child Protection staff setting out that they are not to use any web-based or external Application Programming Interface (API)-based GenAI text tools (such as ChatGPT) as part of their official duties'; 'This action must be implemented by 5 November 2024 and maintained until 5 November 2026'.","relation":"supports","source_id":"s1"},{"locator":"'The regulator issued orders to the department, including blocking IP and domains for a range of generative AI websites, including ChatGPT, Meta AI, Gemini and Copilot.'","relation":"supports","source_id":"s2"}],"assertion":"OVIC's investigation report, published in September 2024, found that DFFH contravened Information Privacy Principles 3.1 and 4.1 over a child protection worker's use of ChatGPT, that the contraventions were serious, and issued a compliance notice requiring DFFH to direct child protection staff not to use web-based generative AI text tools and to block them until 5 November 2026.","causal_attribution":"The regulator's own report and compliance notice establish its findings and orders."},{"id":"c2","status":"documented","evidence":[{"locator":"Compliance notice: 'In or around September 2023, a Child Protection worker (CPW1) of the Organisation used'; 'ChatGPT, a web-based generative Artificial Intelligence (GenAI) tool, when drafting a Protection'. Report: 'The report had been submitted to the Children’s Court for a case concerning a young child whose parents had been charged in relation to sexual offences'; 'CPW1 admitted that they had used ChatGPT in drafting the report, but denied inputting personal information as part of this'.","relation":"supports","source_id":"s1"}],"assertion":"OVIC found that in or around September 2023 a DFFH child protection worker used ChatGPT when drafting a Protection Application Report that was submitted to the Children's Court in a case about a young child whose parents had been charged in relation to sexual offences; the worker admitted to DFFH using ChatGPT for the report.","causal_attribution":"OVIC's finding, based on indicators in the report and the worker's admission to DFFH."},{"id":"c3","status":"documented","evidence":[{"locator":"Report: 'OVIC found, on the balance of probabilities, that CPW1 input personal information, including names'; 'By entering personal and sensitive information about the mother, father, carer, and child into ChatGPT, CPW1 also disclosed this information to OpenAI (the company which operates ChatGPT)'; DFFH response: 'it is not possible to definitively confirm that personal information has ever been entered into ChatGPT by the Child Protection Practitioner who no longer works in the department'.","relation":"supports","source_id":"s1"},{"locator":"'Ovic found that, on the balance of probabilities, the worker had entered in personal information.'","relation":"supports","source_id":"s2"}],"assertion":"OVIC found on the balance of probabilities that the worker entered personal information, including names, about the child, mother, father and carer into ChatGPT, disclosing it to OpenAI; the worker denied entering personal information, and DFFH says this cannot be confirmed definitively.","causal_attribution":"A regulator's finding on the balance of probabilities, contested by the worker's denial; organisations cannot see what staff typed into ChatGPT."},{"id":"c4","status":"documented","evidence":[{"locator":"Report: 'First, the PA Report referenced how the child’s father used a particular toy, a doll, for sexual purposes.'; 'The report later referenced the same toy as a notable strength, in that the parents had provided the child with “age-appropriate toys”'; 'ChatGPT failed to properly understand the relevant context, and generated inappropriate and inaccurate content as a result'; 'these deficiencies in the report did not ultimately change the decision-making of either Child Protection or the Court in relation to the child'.","relation":"supports","source_id":"s1"},{"locator":"'But it also said the report did not change the decision-making of either the child protection agency or the court.'","relation":"supports","source_id":"s2"}],"assertion":"OVIC's report attributes inaccurate content in the report to ChatGPT: having described a doll the father had reportedly used for sexual purposes, the report later cited the same toy as a parental strength ('age-appropriate toys'), which downplayed the risk to the child; the deficiencies did not change the decisions of Child Protection or the court.","causal_attribution":"OVIC attributes the doll passage to ChatGPT from the content itself and the worker's admission of ChatGPT use."},{"id":"c5","status":"reported","evidence":[{"locator":"Report: 'DFFH arranged with the Court for the PA Report to be withdrawn and a replacement one submitted. It also notified affected parties about the incident'; 'In the present case, the mother, father, and carer variously described feelings of anxiety and being overwhelmed when informed about their information being disclosed'.","relation":"supports","source_id":"s1"}],"assertion":"According to OVIC's report, DFFH arranged with the court for the report to be withdrawn and replaced and notified the affected parties; the mother, father and carer described feelings of anxiety and being overwhelmed when told their information had been disclosed.","causal_attribution":"DFFH's account to OVIC; the family members' reactions are relayed by the regulator, not in their own words."},{"id":"c6","status":"documented","evidence":[{"locator":"DFFH response, 18 September 2024: 'I accept that there was an unauthorized use of ChatGPT by a Child Protection Practitioner'; 'when developing a Protection Application Report for court'; 'the Child Protection Practitioner who no longer works in the department'.","relation":"supports","source_id":"s1"},{"locator":"'In response, the department said it accepted the findings and would work to implement the orders. It said it no longer employed the worker.'","relation":"supports","source_id":"s2"}],"assertion":"DFFH's Secretary accepted that a child protection practitioner had used ChatGPT without authorisation for a court report and that the department breached the two privacy principles, and the department said it no longer employs the worker.","causal_attribution":"DFFH's own letter, annexed to the report."}],"effects":[{"label":"personal information about a child, the mother, father and carer was entered into ChatGPT and disclosed to OpenAI, regulator finds","claim_id":"c3","direction":"negative"},{"label":"ChatGPT-generated content in a Children's Court report downplayed the risk to the child; the report was withdrawn and replaced","claim_id":"c4","direction":"negative"},{"label":"the mother, father and carer described anxiety and being overwhelmed when told of the disclosure","claim_id":"c5","direction":"negative"}],"sources":[{"id":"s1","url":"https://ovic.vic.gov.au/wp-content/uploads/2024/11/DFFH-ChatGPT-investigation-report-20240924-Re-upload.pdf","kind":"official_record","access":"read","language":"en","translation_note":"OVIC investigation report under s8C(2)(e) of the Privacy and Data Protection Act 2014 (Vic), September 2024, with the compliance notice (Annexure A) and DFFH's response letter of 18 September 2024 (Annexure B); the PDF (re-uploaded November 2024) was read in full on 2026-10-22 from ovic.vic.gov.au (HTTP 200); the report page gives 'Last updated 24 September 2024'.","independence_group":"ovic-dffh-chatgpt-investigation"},{"id":"s2","url":"https://www.theguardian.com/australia-news/2024/sep/26/victoria-child-protection-chat-gpt-ban-ovic-report-ntwnfb","kind":"news","access":"read","language":"en","translation_note":"The Guardian (Australia), 26 September 2024, read in full on 2026-10-22 (HTTP 200). Its account comes from OVIC's report, so it shares that group. Its statement that the worker may have used ChatGPT in 100 cases does not match the report, which attributes the 100 cases to the worker's broader work unit; that statement is not relied on.","independence_group":"ovic-dffh-chatgpt-investigation"}],"version":1,"ai_roles":["institutional_use"],"contexts":["privacy","public_services","justice"],"unknowns":["Exactly what text the worker entered into ChatGPT; neither DFFH nor OVIC could see the prompts, and the input of personal information rests on a balance-of-probabilities finding.","The exact date of the ChatGPT use (the compliance notice says 'in or around September 2023') and of the court hearing.","Whether OpenAI retained or used the information entered.","Which people were affected in the 100 other cases with indicators of ChatGPT use, and whether their information was entered.","How DFFH has complied with the compliance notice since its first monitoring reports."],"geography":{"basis":"OVIC is Victoria's information regulator, DFFH is a Victorian government department, and the report says the affected child protection case went before the Children's Court, a Victorian court. The family's case was handled by the department in Victoria.","court_countries":["AU"],"event_countries":["AU"],"affected_person_countries":["AU"]},"publication":{"basis":"Published under the 2026-10-06 privacy clarification: a regulator's investigation report finds that a child protection worker entered a family's personal information into ChatGPT, without authorisation, and that ChatGPT-generated text minimising the risk to a child went into a court report. Relations: received_personal_information and made_claim_about. The case adds a statutory child protection setting, a court report and a compliance notice banning generative AI tools.","reviewed_on":"2026-10-22"},"ai_involvement":{"basis":"OVIC's report finds that ChatGPT received personal information about the child, mother, father and carer that the worker typed in, which disclosed it to OpenAI, and that ChatGPT generated report text inaccurately describing the parents' care of the child (the doll passage), which went into a report submitted to the Children's Court and downplayed the risk to the child. The finding rests on indicators in the report text, the worker's admission of ChatGPT use and colleagues' accounts; the input of personal information was found on the balance of probabilities and the worker denied it.","status":"supported"},"person_relations":["received_personal_information","made_claim_about"]},"name":"Victorian child protection worker put a family's information into ChatGPT to draft a court report that minimised risk to the child, regulator finds","summary":"Victoria's Information Commissioner (OVIC) found in a report published on 24 September 2024 that a child protection worker at the Department of Families, Fairness and Housing (DFFH) used ChatGPT in or around September 2023 to draft a Protection Application Report submitted to the Children's Court about a young child. On the balance of probabilities, OVIC found the worker entered personal information, including names, about the child, mother, father and carer, disclosing it to OpenAI; the worker admitted using ChatGPT but denied entering personal information. OVIC found generated content in the report described a doll that the father had reportedly used for sexual purposes as a parental strength ('age-appropriate toys'), downplaying the risk to the child, although the court's and the department's decisions did not change. The report was withdrawn and replaced, and the mother, father and carer described anxiety when told of the disclosure. OVIC found serious breaches of two privacy principles and issued a compliance notice requiring DFFH to ban and block generative AI text tools for child protection staff until November 2026; DFFH accepted the breach findings.","incidentDate":"2023-09-01","incidentKind":"single_event","incidentDatePrecision":"month","exposurePattern":"single_interaction","reportedDate":"2024-09-24","aiSystem":"ChatGPT (OpenAI), used through its website by a child protection worker of Victoria's Department of Families, Fairness and Housing to draft a court report, without departmental authorisation (per OVIC's investigation report)","aiProduct":"ChatGPT","aiCompany":"OpenAI","severity":"medium","verificationStatus":"credible","harmCategories":[],"harmOutcomes":["other_material_harm","psychological_distress"],"harmOutcomeSummary":"OVIC found that personal information about a child, the mother, father and carer was entered into ChatGPT and disclosed to OpenAI, and that ChatGPT-generated content in a court report downplayed the risk to the child; the mother, father and carer described anxiety when told, according to OVIC's report.","frameworkFacets":[],"causationStatus":"supported","participantUsersAffectedMin":0,"otherPeopleHarmedMin":4,"affectedCountStatus":"documented_minimum","affectedCountEvidence":"OVIC's report finds that personal and sensitive information about the mother, father, carer and child in this case was entered into ChatGPT (four people), and records that the mother, father and carer described anxiety when informed. OVIC says personal information had likely been entered in other cases too; those people are not counted. The worker, the court and DFFH staff are not counted.","victimAgeRange":"unknown","jurisdiction":"AU-VIC","platformType":"chatbot","outcomeType":"regulatory_action","outcomeStatus":"resolved","primarySourceUrl":"https://ovic.vic.gov.au/wp-content/uploads/2024/11/DFFH-ChatGPT-investigation-report-20240924-Re-upload.pdf","primarySourceLabel":"Office of the Victorian Information Commissioner: Investigation into the use of ChatGPT by a Child Protection worker (report, 24 Sep 2024)","firstPublishedAt":"2026-10-22T03:03:14.588614+00:00","updatedAt":"2026-10-22T03:03:14.588614+00:00","scopeVersion":"facts-v3","tags":["chatgpt","child-protection","court-report","privacy-regulator","unauthorised-ai-use","personal-information","victoria"]},{"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"]}]}