{ "meta": { "exportedAt": "2026-09-22T15:59:03.883Z", "formatVersion": 2, "selection": { "q": "work", "system": "", "harm": "", "context": "", "country": "", "role": "", "relation": "contextual", "evidence": "", "year": "", "response": "", "severity": "", "verification": "", "view": "incidents", "sort": "added" }, "totalIncidents": 5, "coverage": { "cases": 5, "countries": 1, "languages": 1, "unknownLocation": 1, "locationPending": 0, "unknownLanguage": 0, "unknownDate": 1, "lawsuits": 2, "regulatory": 0, "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": "NOPE Incident Tracker", "url": "https://nope.net/incidents", "license": "CC BY 4.0" }, "incidents": [ { "id": "2026-abc-ai-medical-scribe-false-drug-use-record", "caseFacts": { "claims": [ { "id": "c1", "status": "reported", "evidence": [ { "locator": "'she was asked whether she consented to having the appointment transcribed by artificial intelligence (AI)'; 'with the AI scribe making up the serious but false claim that'; 'it made up that I take [psychedelic] mushrooms. I have never done mushrooms in my life'; 'only picked up the mistake after her kidney stone surgery in March, when she read the post-operative letter her specialist sent to her GP'; 'micro-dosed mushrooms and that could be the reason for prior bleeding around the kidneys'", "relation": "supports", "source_id": "s1" } ], "assertion": "The patient consented to AI transcription of her first urology appointment; after her March 2026 kidney-stone surgery she found that the post-operative letter to her GP stated she micro-dosed mushrooms and that this could explain earlier bleeding around the kidneys, a claim she says is false.", "causal_attribution": "Patient's account to ABC; the attribution of the false entry to the AI scribe is hers and ABC's framing." }, { "id": "c2", "status": "reported", "evidence": [ { "locator": "'I was gobsmacked and in tears'; 'was particularly stressed as she was receiving workers' compensation and felt any mention of illegal drugs on her medical record could impact her case'", "relation": "supports", "source_id": "s1" } ], "assertion": "She reported distress and feared the entry could affect her workers' compensation case.", "causal_attribution": "Patient's account." }, { "id": "c3", "status": "reported", "evidence": [ { "locator": "'the urologist sent a letter apologising'; 'Please be assured that we take the accuracy of our documentation very seriously, and we are truly sorry that this occurred'; 'it appeared to be from an error during the \"dictation or transcription process\"'; 'The urologist corrected the correspondence and in her letter said she would review how AI was used in her practice'; 'The doctor did not provide any responses to the ABC's questions about what changes, if any, have been made since'", "relation": "supports", "source_id": "s1" } ], "assertion": "After her complaint the urologist apologised in writing, said the cause could not be determined but appeared to be an error in the dictation or transcription process, corrected the correspondence and said she would review her use of AI; she did not answer ABC's questions about changes made.", "causal_attribution": "Doctor's letter as quoted by ABC; the doctor does not confirm the scribe as the origin." }, { "id": "c4", "status": "reported", "evidence": [ { "locator": "'AHPRA, said clinicians must always check all output from an AI scribe for accuracy to ensure they meet their professional obligations'; 'said it was clear her doctor did not do this'", "relation": "supports", "source_id": "s1" } ], "assertion": "AHPRA told ABC that clinicians must always check all output from an AI scribe for accuracy; the patient said it was clear her doctor had not.", "causal_attribution": "Regulator comment and patient's view; context for the case." } ], "effects": [ { "label": "a false claim of psychedelic-mushroom use entered the patient's medical record and reached her GP; distress and fear for her workers' compensation case", "claim_id": "c1", "direction": "negative" }, { "label": "the correspondence was corrected and the doctor apologised after the patient complained", "claim_id": "c3", "direction": "positive" } ], "sources": [ { "id": "s1", "url": "https://www.abc.net.au/news/2026-08-14/ai-medical-scribe-error-leaves-patient-devastated/107031672", "kind": "news_report", "access": "read", "language": "en", "translation_note": "Read live in English on 2026-09-20 (HTTP 200; saved body 402,866 bytes). Feature by the ABC Specialist Reporting Team based on the patient's interview and the letters she received, plus regulator and peak-body comment.", "independence_group": "abc-news-2026-08-14" } ], "version": 1, "ai_roles": [ "institutional_use" ], "contexts": [ "health" ], "unknowns": [ "The AI scribe product and vendor are not named.", "The location of the clinic and the patient's residence are not stated.", "The date of the appointment at which the transcription was made is not stated. The report gives the surgery as 'in March' without a year; 2026 is taken from the 14 August 2026 publication date.", "Whether the false claim originated in the scribe's output or in a later dictation or editing step is not established; the doctor's letter says the cause could not be determined.", "What changes the practice made afterwards are not reported." ], "geography": { "basis": "No inspected source states where the appointment or the patient is located. The ABC report frames the case within Australian regulation (AHPRA, RACGP, TGA) and quotes Australian bodies, but does not locate the patient or the clinic, so the event and affected-person countries are left unknown rather than inferred from the publisher. No court proceeding.", "court_countries": [], "event_countries": [], "affected_person_countries": [] }, "publication": { "basis": "Published under the 2026-09-15 charter as an everyday-assistance and health case in which an AI system made a false claim about a person in her medical record, with reported distress and a corrected record. Single ABC News report read in full; claims recorded as reported and attributed to the patient and the doctor's letter. The patient is named in the report but not in this record; the doctor and clinic are unnamed.", "reviewed_on": "2026-09-20" }, "ai_involvement": { "basis": "The patient told ABC that the appointment was transcribed by an AI scribe with her consent and that the false mushroom claim appeared in the resulting post-operative letter; the doctor's apology attributes the claim to an error during the 'dictation or transcription process' without confirming the scribe as the origin. The product is not named. Single ABC report.", "status": "reported" }, "person_relations": [ "made_claim_about" ] }, "name": "Reported by ABC News (Australia): an AI scribe used at a urology appointment inserted a false claim that the patient took psychedelic mushrooms into her record; the error reached her GP in a post-operative letter and was corrected only after she complained", "summary": "A patient who consented to having her first urology appointment transcribed by an artificial-intelligence scribe discovered, after her kidney-stone surgery in March 2026, that the post-operative letter her specialist sent to her GP stated she micro-dosed psychedelic mushrooms and that this could explain earlier bleeding around the kidneys. She says she has never taken mushrooms. She was receiving workers' compensation and feared that any mention of illegal drugs on her medical record could affect her case. After she complained, the urologist sent a letter of apology saying the practice takes documentation accuracy seriously, that she could not determine how the claim came to be included but that it appeared to be an error during the 'dictation or transcription process', that the correspondence had been corrected and that she would review how AI was used in her practice. The doctor did not answer ABC's questions about what changes had been made. Australia's practitioner regulator AHPRA told ABC that clinicians must check all AI-scribe output; the patient says it was clear her doctor had not. The account is a single ABC News report (14 August 2026) based on the patient's interview and the letters she received; the scribe product and the clinic's location are not named.", "incidentDate": "2026-03-01", "incidentKind": "single_event", "incidentDatePrecision": "month", "exposurePattern": "single_interaction", "reportedDate": "2026-08-14", "aiSystem": "AI medical scribe (product not named in the report)", "severity": "low", "verificationStatus": "credible", "harmCategories": [], "harmOutcomes": [ "psychological_distress", "reputational_harm" ], "harmOutcomeSummary": "The patient reports distress ('gobsmacked and in tears') and fear for her workers' compensation case after a false illegal-drug claim entered her medical record and was sent to her GP; the record was corrected after her complaint. The false entry is attributed by the patient to the AI scribe and by the doctor to an error in the dictation or transcription process.", "frameworkFacets": [], "causationStatus": "alleged", "participantUsersAffectedMin": 0, "otherPeopleHarmedMin": 1, "affectedCountStatus": "exact", "affectedCountEvidence": "One patient whose record carried the false claim (ABC report). The clinician used the AI tool, so the patient is counted as another person harmed rather than a participant user. Exact 1.", "victimAgeRange": "adult", "platformType": "other", "outcomeType": "internal_action", "outcomeStatus": "resolved", "primarySourceUrl": "https://www.abc.net.au/news/2026-08-14/ai-medical-scribe-error-leaves-patient-devastated/107031672", "primarySourceLabel": "ABC News (Specialist Reporting Team), 14 August 2026: Error by AI scribe during medical appointment leaves patient devastated", "firstPublishedAt": "2026-09-20T03:28:12.119063+00:00", "scopeVersion": "facts-v3", "tags": [ "ai-scribe", "medical-records", "health", "transcription-error", "false-record", "workers-compensation", "abc-news" ] }, { "id": "2026-san-jose-officer-flock-alpr-data-domestic-violence-accuser", "caseFacts": { "claims": [ { "id": "c1", "status": "corroborated", "evidence": [ { "locator": "Chief Joseph: 'The officer accessed license plate reader data and provided that to a suspect in a domestic violence situation, which enabled that suspect to locate a victim'; 'accused of accessing Flock camera data on his personal phone to help a family member last spring'.", "relation": "supports", "source_id": "s1" }, { "locator": "'the officer used his personal phone to access the Flock camera system and then provided the location of a vehicle to his cousin. The cousin subsequently used the information to track down his accuser, according to our partner the Bay Area News Group.'", "relation": "supports", "source_id": "s2" } ], "assertion": "A San Jose police officer accessed the department's Flock license-plate-reader data on his personal phone and gave a vehicle's location to a relative who was a suspect in a domestic-violence case, enabling him to locate the woman accusing him.", "causal_attribution": "The chief's public account, carried by NBC Bay Area, and ABC7's report drawing on the Bay Area News Group; the locating of the accuser is the reported consequence." }, { "id": "c2", "status": "corroborated", "evidence": [ { "locator": "'we immediately placed this officer on administrative leave. We launched a criminal investigation into his conduct. We referred that investigation to the district attorney's office and we ultimately terminated'", "relation": "supports", "source_id": "s1" }, { "locator": "'the officer's case was submitted to the State of California P.O.S.T. for a decertification investigation'; 'Neither the officer nor the cousin has been criminally charged.'", "relation": "supports", "source_id": "s2" } ], "assertion": "The officer was placed on leave, criminally investigated, referred to the district attorney and fired; the case was submitted to California POST for decertification; neither the officer nor the cousin has been charged.", "causal_attribution": "Departmental actions as announced; charging status per ABC7 on 13 September." }, { "id": "c3", "status": "corroborated", "evidence": [ { "locator": "'he has made changes to the policy to ensure the data cannot be accessed on a personal device'", "relation": "supports", "source_id": "s1" }, { "locator": "'officers are no longer permitted to access the system on their personal devices'; 'testing new smart auditing tools to flag possible access without a lawful purpose'", "relation": "supports", "source_id": "s2" } ], "assertion": "The department barred access to the system from personal devices and is testing auditing tools to flag access without a lawful purpose.", "causal_attribution": "Policy responses as reported by both outlets." } ], "effects": [ { "label": "a domestic-violence accuser was located by the suspect using her vehicle's plate-reader location data passed on by an officer", "claim_id": "c1", "direction": "negative" } ], "sources": [ { "id": "s1", "url": "https://www.nbcbayarea.com/news/local/san-jose-police-fired-flock-camera/4141719/", "kind": "local_tv_news", "access": "read", "language": "en", "translation_note": "Read in English on 2026-09-16 (datePublished 2026-09-11T17:29-07:00; Robert Handa; the chief's on-camera quotes).", "independence_group": "nbc-bay-area" }, { "id": "s2", "url": "https://abc7news.com/post/san-jose-police-officer-fired-allegedly-sharing-flock-camera-data-suspect-domestic-violence-case-authorities-say/19825592/", "kind": "local_tv_news", "access": "read", "language": "en", "translation_note": "Read in English on 2026-09-16 (datePublished 2026-09-13T22:49Z; KGO; cites the Bay Area News Group for the cousin locating his accuser).", "independence_group": "abc7-bang" } ], "version": 1, "ai_roles": [ "institutional_use" ], "contexts": [ "privacy", "public_services", "relationships" ], "unknowns": [ "The date of the disclosure is given only as 'last spring' by the chief; the incident date is left unknown rather than inferred.", "What happened after the suspect located the victim is not reported; no injury or further offence is described in the inspected sources.", "The officer's and the cousin's identities and the status of the domestic-violence case are not reported in the inspected sources.", "The Bay Area News Group original cited by ABC7 was not inspected." ], "geography": { "basis": "Event: San Jose Police Department's camera network and the locating of the victim, San Jose, California (both reports). The victim's residence is not stated beyond the San Jose case; no court proceeding is reported.", "court_countries": [], "event_countries": [ "US" ], "affected_person_countries": [ "US" ] }, "publication": { "basis": "Published under the 2026-09-15 charter as an institutional privacy and safety case: automated license-plate-reader records about a domestic-violence accuser were passed by an officer to the suspect, who used them to find her, as stated publicly by the police chief and reported by two local outlets. The victim, officer and suspect are unnamed in the sources and here; the AI component generated the location record and the misuse is recorded as a human act.", "reviewed_on": "2026-09-16" }, "ai_involvement": { "basis": "The police chief states that the officer accessed the department's Flock automated license-plate-reader data and provided it to the suspect, enabling him to locate the victim; ABC7 describes the system as the Flock camera system accessed on a personal phone. The automated readers generated the vehicle-location record about the victim; the disclosure was a human act.", "status": "supported" }, "person_relations": [ "made_claim_about" ] }, "name": "San Jose: police officer fired after passing Flock license-plate-reader location data to a relative accused of domestic violence, who used it to find his accuser", "summary": "San Jose's police chief announced on 11 September 2026 that an officer had been fired after accessing the department's Flock Safety automated license-plate-reader data on his personal phone and giving a vehicle's location to his cousin, a suspect in a domestic-violence case, who used it to locate the woman accusing him. The chief called it 'a betrayal of the public trust', said the officer was placed on leave, criminally investigated and referred to the district attorney, and that the case was submitted to California's peace-officer standards commission for decertification; neither the officer nor the cousin has been charged. The department has since barred access to the system from personal devices and is testing auditing tools. Neither the victim nor the officer is named in the inspected reports.", "incidentKind": "single_event", "incidentDatePrecision": "unknown", "exposurePattern": "unknown", "reportedDate": "2026-09-11", "aiSystem": "Flock Safety automated license plate readers (San Jose Police Department camera network)", "aiCompany": "Flock Safety", "severity": "medium", "verificationStatus": "credible", "harmCategories": [], "harmOutcomes": [ "exploitation_or_abuse" ], "harmOutcomeSummary": "A woman who had accused a man of domestic violence was located by him after a police officer passed him her vehicle's automated license-plate-reader location data; the inspected reports describe the locating but no further consequence.", "frameworkFacets": [], "causationStatus": "supported", "participantUsersAffectedMin": 0, "otherPeopleHarmedMin": 1, "affectedCountStatus": "exact", "affectedCountEvidence": "One person: the domestic-violence accuser whom the suspect located using the data (NBC Bay Area, ABC7).", "victimAgeRange": "adult", "jurisdiction": "US", "platformType": "other", "outcomeType": "internal_action", "outcomeStatus": "ongoing", "primarySourceUrl": "https://www.nbcbayarea.com/news/local/san-jose-police-fired-flock-camera/4141719/", "primarySourceLabel": "NBC Bay Area, 11 September 2026: the chief's announcement and quotes", "firstPublishedAt": "2026-09-16T03:16:38.30859+00:00", "scopeVersion": "facts-v3", "tags": [ "flock", "alpr", "license-plate-reader", "police", "domestic-violence", "privacy", "san-jose", "california", "institutional-use" ] }, { "id": "2026-dillon-faces-wrongful-arrest-florida", "caseFacts": { "claims": [ { "id": "c1", "status": "corroborated", "evidence": [ { "locator": "'took pictures of the screen with his cell phone… low resolution… partially shadowed and off-axis'; '93 percent confidence'.", "relation": "supports", "source_id": "s1" }, { "locator": "Warrant based on the FR hit + 'a statement from a restaurant employee who picked his photo out of a lineup'; 'police called Dillon in 2023, he denied involvement citing skin-cancer scars'.", "relation": "supports", "source_id": "s3" } ], "assertion": "The warrant rested on a 93%-confidence FACES result obtained from low-resolution cell-phone photos of the restaurant's surveillance screen (partially shadowed, off-axis) plus a restaurant employee's photo-lineup identification; police had called Dillon in 2023 and he denied involvement, citing skin-cancer scars.", "causal_attribution": "The evidentiary basis is the complaint's account, carried by two chains; whether '93%' was system-generated or an investigator's characterization is unverified (the suit says the system 'spit out' his photo as a 'possible match')." }, { "id": "c2", "status": "corroborated", "evidence": [ { "locator": "'arrested Aug 2024 in Fort Myers'; 'more than two months later, prosecutors dropped the charges'; 'it took an entire year… to take down his mug shot and expunge the arrest'.", "relation": "supports", "source_id": "s1" }, { "locator": "Arrest bodycam 'outside his San Carlos Park home' via Gulf Coast affiliate; the Dillon interview ('I don't wish this on my worst enemy').", "relation": "supports", "source_id": "s2" }, { "locator": "'charges… dropped… in October 2024'; 1 night jail, bonded out pledging his truck's title.", "relation": "supports", "source_id": "s3" } ], "assertion": "Dillon was arrested at his San Carlos Park home in August 2024, spent one night in jail and bonded out pledging his truck's title; prosecutors dropped the charges in October 2024 after work-alibi evidence; the arrest took about a year to expunge, with his mugshot lingering online.", "causal_attribution": "The custody and expungement timeline is consistent across three chains." }, { "id": "c3", "status": "corroborated", "evidence": [ { "locator": "'suit in M.D. Fla. vs. city of Jacksonville Beach + officers/officials incl. Sheriff T.K. Waters'.", "relation": "supports", "source_id": "s1" }, { "locator": "Suit 'includes the Pinellas County Sheriff's Office, which oversees the use of the AI facial recognition technology across Florida'.", "relation": "supports", "source_id": "s2" }, { "locator": "ACLU attorney Nathan Wessler interview; defendants: Jacksonville Beach PD + Jacksonville and Pinellas County sheriffs' offices.", "relation": "supports", "source_id": "s3" } ], "assertion": "The ACLU filed a federal lawsuit in the week of 8 June 2026 in the Middle District of Florida against the city of Jacksonville Beach, Jacksonville Sheriff T.K. Waters and the Pinellas County Sheriff's Office, seeking damages and policy safeguards.", "causal_attribution": "The suit's existence and parties are carried by three chains; the exact filing date within the week of 8 June is not pinned in the inspected sources." }, { "id": "c4", "status": "documented", "evidence": [ { "locator": "PCSO response passages ('patently false'; 'never \"matches\"'; 'rests solely with any officer').", "relation": "supports", "source_id": "s2" } ], "assertion": "The Pinellas County Sheriff's Office responded that a training-failure claim 'is patently false', that 'facial recognition results are never \"matches\"', and that liability 'rests solely with any officer who did so'.", "causal_attribution": "The agency's position is quoted directly and preserved as contrary evidence." }, { "id": "c5", "status": "reported", "evidence": [ { "locator": "'one of at least 14 people arrested since 2019'.", "relation": "supports", "source_id": "s1" }, { "locator": "'one of 15 known people'.", "relation": "supports", "source_id": "s3" } ], "assertion": "The ACLU counts Dillon as at least the 14th known person wrongfully arrested since 2019 from police reliance on facial recognition (Reason, 11 June); a later WUSF attorney interview puts the count at 15 known.", "causal_attribution": "The advocacy count is attributed to the ACLU; the two figures are recorded as stated on their dates." } ], "effects": [ { "label": "wrongful felony arrest on a 93% facial-recognition hit, with a year-long expungement fight", "claim_id": "c2", "direction": "negative" } ], "sources": [ { "id": "s1", "url": "https://reason.com/2026/06/11/aclu-sues-after-facial-recognition-falsely-identifies-florida-man-as-a-child-abductor/", "kind": "news_report", "access": "read", "language": "en", "translation_note": "Read in English on 2026-09-15 (11 Jun 2026, Joe Lancaster).", "independence_group": "reason" }, { "id": "s2", "url": "https://abcnews.com/GMA/News/man-sues-law-enforcement-alleging-ai-facial-recognition/story?id=133810835", "kind": "news_report", "access": "read", "language": "en", "translation_note": "Read in English on 2026-09-15 (12 Jun 2026, Hipos & Yu).", "independence_group": "abc-news" }, { "id": "s3", "url": "https://www.wusf.org/courts-law/2026-06-18/ai-facial-recognition-tool-led-to-florida-man-wrongful-arrest-lawsuit", "kind": "news_report", "access": "read", "language": "en", "translation_note": "Read in English on 2026-09-15 (18 Jun 2026, Lyden/Peddie).", "independence_group": "wusf" } ], "version": 1, "ai_roles": [ "institutional_use" ], "contexts": [ "justice" ], "unknowns": [ "The exact filing date within the week of 8 June 2026 and the docket number are not pinned in the inspected sources.", "Whether the '93%' figure was system-generated or an investigator's characterization is unverified.", "The lineup procedure's details (who administered it and how) are only partly reported.", "The expungement's completion date is given only as 'about a year' after the arrest.", "The actual perpetrator of the 2023 luring attempt is not reported as identified." ], "geography": { "basis": "Event: the warrant (Jacksonville Beach) and the arrest (San Carlos Park / Fort Myers), Florida. Affected person: Dillon, Florida. Court: the felony charge (dropped) and the federal suit in the Middle District of Florida.", "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): a facial-recognition hit treated as warrant-grade identification, documented by three independent chains including the ACLU's own attorney and the vendor agency's response. Dillon spoke publicly; the PCSO denial is preserved as contrary evidence.", "reviewed_on": "2026-09-15" }, "ai_involvement": { "basis": "The warrant rested on the FACES 93%-confidence result plus a lineup identification, per the complaint as carried by Reason and WUSF; the vendor (Pinellas County Sheriff's Office FACES) is confirmed by WUSF, and the PCSO's own response acknowledges its technology's role while rejecting liability.", "status": "supported" }, "person_relations": [ "made_decision_about", "made_claim_about" ] }, "name": "Florida: 93% facial-recognition hit led to Robert Dillon's arrest as an attempted child abductor; charges dropped, ACLU suit filed", "summary": "In August 2024, Robert Dillon, a 52-year-old self-employed commercial crabber from the Fort Myers area, was arrested at his San Carlos Park home on a third-degree felony warrant for the attempted luring of a child at a Jacksonville Beach McDonald's in November 2023 — a crime he had no part in. The warrant rested on a 93%-confidence result from FACES, the Face Analysis Comparison and Examination System maintained by the Pinellas County Sheriff's Office, run against low-resolution cell-phone photos of a surveillance screen, plus a restaurant employee's photo-lineup identification. Dillon spent a night in jail and bonded out against his truck's title; prosecutors dropped the charges in October 2024 after work-alibi evidence, but it took about a year to expunge the arrest and remove his mugshot. In June 2026 the ACLU filed a federal lawsuit (M.D. Fla.) against Jacksonville Beach, the Jacksonville sheriff and the Pinellas County Sheriff's Office, calling Dillon one of at least 14 known wrongful arrests from police reliance on facial recognition since 2019.", "incidentDate": "2024-08-01", "incidentEndDate": "2024-10-01", "incidentKind": "bounded_series", "incidentDatePrecision": "range", "exposurePattern": "single_interaction", "reportedDate": "2026-06-11", "aiSystem": "FACES (Face Analysis Comparison and Examination System), Pinellas County Sheriff's Office", "aiCompany": "Pinellas County Sheriff's Office (FACES centralized database)", "severity": "medium", "verificationStatus": "credible", "harmCategories": [], "harmOutcomes": [ "legal_harm", "reputational_harm", "psychological_distress" ], "harmOutcomeSummary": "Arrested at home on a child-abduction-class felony from a 93% facial-recognition hit on grainy screen photos; a night in jail, two months to clear the charge, and about a year to expunge the record and remove the mugshot.", "frameworkFacets": [], "causationStatus": "supported", "participantUsersAffectedMin": 0, "otherPeopleHarmedMin": 1, "affectedCountStatus": "exact", "affectedCountEvidence": "One documented harmed person: Dillon, the misidentified arrestee (three independent chains). The child in the underlying luring attempt is a victim of the actual perpetrator, not of the misidentification, and is not counted.", "victimAgeRange": "adult", "jurisdiction": "US", "platformType": "other", "outcomeType": "lawsuit_filed", "outcomeStatus": "ongoing", "primarySourceUrl": "https://reason.com/2026/06/11/aclu-sues-after-facial-recognition-falsely-identifies-florida-man-as-a-child-abductor/", "primarySourceLabel": "Reason (11 Jun 2026, Joe Lancaster) — complaint-based account: the screen photos, the 93% hit, the arrest, the expungement, the suit", "firstPublishedAt": "2026-09-15T10:27:54.71948+00:00", "scopeVersion": "facts-v3", "tags": [ "made-decision-about", "made-claim-about", "facial-recognition", "wrongful-arrest", "justice", "florida", "aclu" ] }, { "id": "2026-newby-adelphi-ai-detector-vacated", "caseFacts": { "claims": [ { "id": "c1", "status": "corroborated", "evidence": [ { "locator": "'In November 2024, Newby submitted a paper on Christianity and Islam'; 'Oelze gave the paper a grade of zero, according to court filings, in part because he thought it was AI-generated'; 'According to the lawsuit, Adelphi relied in part on AI detection software'; 'Turnitin's AI detector marked the essay as fully AI-written, but Newby ran it through two other detectors that said it was written by a human, court records show'.", "relation": "supports", "source_id": "s1" }, { "locator": "'Adelphi University says an AI detection software flagged 19-year-old Orion Newby's work and claims the paper was \"too advanced\" for the first-year student'; 'That paper earned him a zero'.", "relation": "supports", "source_id": "s2" } ], "assertion": "In November 2024 Newby submitted a paper on Christianity and Islam for the fall 2024 World Civilizations 1 class; the professor graded it zero in part because he thought it was AI-generated, and Adelphi, per the lawsuit, relied in part on AI-detection software — court records show Turnitin's detector marked the essay as fully AI-written while two other detectors scored it human.", "causal_attribution": "The detector results and the lawsuit's contents are attributed to court filings as carried by Newsday; the professor's suspicion is attributed to court filings and ABC7." }, { "id": "c2", "status": "corroborated", "evidence": [ { "locator": "'University officials ordered Newby to attend a plagiarism workshop — which, while considered a \"nondisciplinary\" punishment, could have resulted in suspension or expulsion if he was found to have committed a second offense'; 'The university's denial of Newby's appeal left the family \"no choice\" but to sue'.", "relation": "supports", "source_id": "s1" }, { "locator": "'Adelphi told him he had to take an anti-plagiarism course, and until he did, he couldn't enroll in other classes. That's when his family sued.'", "relation": "supports", "source_id": "s2" } ], "assertion": "Newby was ordered to attend a plagiarism workshop — a 'nondisciplinary' punishment that could have led to suspension or expulsion on a second offense — was told he could not enroll in other classes until he complied, and his appeal was denied; the family sued in October 2025.", "causal_attribution": "Both chains independently carry the workshop order and the enrollment block (Newsday from the ruling stage, ABC7 from the filing stage)." }, { "id": "c3", "status": "documented", "evidence": [ { "locator": "'state Supreme Court Judge Randy Sue Marber in Nassau County wrote on Jan. 28. The school must expunge his record, the judge ruled'; 'were \"without valid basis and devoid of reason\"'.", "relation": "supports", "source_id": "s1" }, { "locator": "Inside Higher Ed's relay describes a 'federal judge' — erroneous; Judge Marber's state Supreme Court decision controls.", "relation": "contradicts", "source_id": "s3" } ], "assertion": "On 28 January 2026, New York State Supreme Court Judge Randy Sue Marber in Nassau County ruled that Adelphi's finding and its denial of his appeal were 'without valid basis and devoid of reason' and ordered the school to expunge his record.", "causal_attribution": "The ruling is documented by Newsday's report quoting the decision; the IHE forum error is recorded explicitly. The decision text itself was not fetched (Newsday's account is the inspected record)." }, { "id": "c4", "status": "corroborated", "evidence": [ { "locator": "'treated since he was about 2 years old for learning and neurological disabilities that include language and auditory processing disorders and attention deficit hyperactivity disorder'; 'He had worked on it with a tutor from Bridges to Adelphi, the university's $5,000-a-semester program'.", "relation": "supports", "source_id": "s1" }, { "locator": "'Newby has learning differences... issues specifically with language processing. At Adelphi, he's in a special program with extra support'; 'I told him I worked 15 to 20 hours with tutors'.", "relation": "supports", "source_id": "s2" } ], "assertion": "Newby has been treated since about age two for learning and neurological disabilities — language and auditory processing disorders and ADHD — and wrote the paper with a tutor from Bridges to Adelphi, the university's own $5,000-a-semester disability-support program, working 15-20 hours with tutors.", "causal_attribution": "The disability and support details come from his mother's and his own accounts, carried by both chains." }, { "id": "c5", "status": "reported", "evidence": [ { "locator": "'The family has spent six figures on legal costs, she said'; Lesko passages ('bellwether example'; 'I can't tell you how many parents have reached out to us with similar issues').", "relation": "supports", "source_id": "s1" } ], "assertion": "The family spent six figures on legal costs; attorney Mark Lesko called the ruling a 'bellwether example' and said many parents had contacted him with similar issues.", "causal_attribution": "The mother's and the attorney's accounts; the 'many parents' figure is unquantified and no other persons are counted." } ], "effects": [ { "label": "false AI-plagiarism accusation with academic and financial consequences until a court ordered expungement", "claim_id": "c2", "direction": "negative" }, { "label": "recovery: court cleared his record; he continues at Adelphi as a second-year history major", "claim_id": "c3", "direction": "positive" } ], "sources": [ { "id": "s1", "url": "https://www.newsday.com/long-island/education/adelphi-university-ai-plagiarism-lawsuit-oh07enyz", "kind": "news_report", "access": "read", "language": "en", "translation_note": "Read in English on 2026-09-15 (datePublished 2026-02-09T10:00Z; 48 paragraphs).", "independence_group": "newsday" }, { "id": "s2", "url": "https://abc7ny.com/post/adelphi-student-long-island-sues-university-allegations-he-used-ai-write-essay/17980409/", "kind": "local_tv_news", "access": "read", "language": "en", "translation_note": "Read in English on 2026-09-15 (datePublished 2025-10-10T20:54Z).", "independence_group": "abc7" }, { "id": "s3", "url": "https://www.insidehighered.com/news/quick-takes/2026/02/11/adelphi-student-wins-ai-plagiarism-lawsuit", "kind": "trade_press_relaying_newsday", "access": "read", "language": "en", "translation_note": "Read in English on 2026-09-15 (2026-02-11). Relays Newsday; its 'federal judge' phrase is erroneous — Judge Marber sits in the state Supreme Court, and the claim records the discrepancy.", "independence_group": "newsday" } ], "version": 1, "ai_roles": [ "institutional_use" ], "contexts": [ "education", "justice", "accessibility" ], "unknowns": [ "The decision text was not fetched; the ruling is recorded through Newsday's account quoting the judge.", "The similarity scores Turnitin returned and the university's full decision letter are not public in the inspected sources.", "Whether Adelphi changed its AI-detection or appeals policies afterward is not reported.", "The first-person Times account (28 Aug 2026) is paywalled and was not inspected; his later reflections are therefore not claimed.", "The workshop's completion status after the ruling (moot after expungement) is not reported." ], "geography": { "basis": "Event: Adelphi University, Garden City, New York. Affected person: Newby, a student there living in Lido Beach, NY. Court: New York State Supreme Court, Nassau County.", "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): a detector-driven false accusation with court-vacated sanctions. Newby and his parents spoke publicly; his disability is recorded because it is central to the case's facts (the university's own support program produced the writing process the detector misread), not as a label.", "reviewed_on": "2026-09-15" }, "ai_involvement": { "basis": "The lawsuit records that Adelphi relied in part on AI-detection software; court records show Turnitin's detector marked the essay as fully AI-written while two other detectors scored it human (Newsday). The university's process, not the tool alone, produced the sanction — recorded in the harm mechanism.", "status": "supported" }, "person_relations": [ "made_decision_about", "made_claim_about" ] }, "name": "Adelphi accused Orion Newby of AI plagiarism after a detector flagged his paper; a Nassau County judge ordered the finding expunged", "summary": "Orion Newby, an Adelphi University first-year student with language and auditory processing disabilities, received a zero in November 2024 on a World Civilizations paper after the professor suspected it was AI-generated and the university relied in part on AI-detection software; he was ordered to attend a plagiarism workshop and his appeal was denied, leaving him one finding from suspension or expulsion. Newby — who had written the paper with 15-20 hours of tutor support through the university's own disability program — said the detectors flagged his citations, and two other detectors scored the paper as human. After the family sued, New York State Supreme Court Judge Randy Sue Marber in Nassau County ruled on 28 January 2026 that Adelphi's finding and its denial of his appeal were 'without valid basis and devoid of reason' and ordered his record expunged. The family spent six figures on legal costs.", "incidentDate": "2024-11-01", "incidentEndDate": "2026-01-28", "incidentKind": "bounded_series", "incidentDatePrecision": "range", "exposurePattern": "single_interaction", "reportedDate": "2025-10-10", "aiSystem": "Turnitin AI-detection software (and the university's reliance on it)", "aiCompany": "Turnitin", "severity": "medium", "verificationStatus": "verified", "harmCategories": [], "harmOutcomes": [ "educational_harm", "financial_loss", "psychological_distress" ], "harmOutcomeSummary": "A false AI-plagiarism finding brought a zero, a plagiarism-workshop order one step from suspension, sleepless nights, and a year-plus fight costing six figures to clear his record — despite two other detectors scoring the paper human and the writing help coming from the university's own disability program.", "frameworkFacets": [], "causationStatus": "supported", "participantUsersAffectedMin": 0, "otherPeopleHarmedMin": 1, "affectedCountStatus": "exact", "affectedCountEvidence": "One documented harmed person: Newby, the subject of the detector-driven accusation (court ruling and Newsday/ABC7 reporting). Other students mentioned by his attorney ('many parents have reached out') are unquantified and not counted.", "victimAgeRange": "adult", "jurisdiction": "US", "platformType": "other", "outcomeType": "lawsuit_filed", "outcomeStatus": "resolved", "primarySourceUrl": "https://www.newsday.com/long-island/education/adelphi-university-ai-plagiarism-lawsuit-oh07enyz", "primarySourceLabel": "Newsday (9 Feb 2026) — the ruling, the judge's words, the family and attorney accounts, the disability and Bridges program detail", "firstPublishedAt": "2026-09-15T09:31:23.493757+00:00", "scopeVersion": "facts-v3", "tags": [ "made-decision-about", "made-claim-about", "ai-detector", "turnitin", "education", "disability", "court-win", "new-york" ] }, { "id": "2025-washington-il-snapchat-flag-student-teacher-arrest", "caseFacts": { "claims": [ { "id": "c1", "status": "reported", "evidence": [ { "locator": "'The social media site flagged the message and warned the FBI, which then notified the Sheriff's Office'; 'the office had been informed on Jan. 29, 2025, at 1:06 p.m. that the FBI had received a threat via Snapchat involving someone at John A. Hensey School in Washington.'", "relation": "supports", "source_id": "s1" }, { "locator": "District email: 'The use of that obviously inappropriate language on the social media site triggered a report to law enforcement who subsequently interviewed the student teacher.'", "relation": "context", "source_id": "s2" } ], "assertion": "Snapchat's systems flagged the woman's private group-chat message and warned the FBI, which notified the Tazewell County Sheriff's Office on 29 January 2025 at 1:06 p.m.", "causal_attribution": "One outlet group (Peoria Journal Star) carrying two distinct records (sheriff's reports via FOIA; the district's email). The flagging technology is unspecified; no second independent outlet describes the mechanism, so the claim stays reported." }, { "id": "c2", "status": "corroborated", "evidence": [ { "locator": "'In a chat with her boyfriend and her two roommates, she advised whether she should \"shoot the child or just the whole school?\"' (sheriff's reports).", "relation": "supports", "source_id": "s1" }, { "locator": "'Volpe sent the message to her friends, asking them whether she should \"shoot\" the student.'", "relation": "supports", "source_id": "s3" } ], "assertion": "The flagged message asked whether she should 'shoot the child or just the whole school' (sheriff's reports' rendering); the district's email and 25News Now report her asking friends whether she should 'shoot' the student.", "causal_attribution": "Wordings differ slightly between the sheriff's reports and the district/25News accounts; both versions are attributed. She confirmed sending the message and said it was a joke." }, { "id": "c3", "status": "corroborated", "evidence": [ { "locator": "Body-cam account: interview in an empty classroom, Miranda rights, the flagged message shown, consent forms, classroom search finding nothing; 'she would be arrested in Tazewell County'.", "relation": "supports", "source_id": "s1" }, { "locator": "'deputies arrested [her] at John L. Hensey Elementary School around 1 p.m. Wednesday. She was booked into the Tazewell County Jail for disorderly conduct.'", "relation": "supports", "source_id": "s3" } ], "assertion": "Deputies interviewed her at the school, read her Miranda rights, searched her phone and belongings with consent and found no weapons; they arrested her on a disorderly conduct charge and she was booked into the Tazewell County Jail.", "causal_attribution": "The arrest and booking are established by two independent local outlets; the interview detail comes from the FOIA body-cam footage and police reports." }, { "id": "c4", "status": "corroborated", "evidence": [ { "locator": "'Deputies interviewed her and came to the conclusion that she made the comment out of \"exasperation,\" had no intentions to harm anyone, and was not a threat to the school.'", "relation": "supports", "source_id": "s3" }, { "locator": "District email: 'Law enforcement officers quickly determined that the student teacher made the statement out of exasperation... but did not have any actual intent to shoot anyone or otherwise cause harm.'", "relation": "supports", "source_id": "s2" } ], "assertion": "The Sheriff's Office and the district concluded the remark was made out of exasperation, with no intent to harm and no threat to the school.", "causal_attribution": "Both the district's letter and the deputies' own conclusion are attributed; no source reports any contrary finding." }, { "id": "c5", "status": "corroborated", "evidence": [ { "locator": "'it said the student teacher would not be returning to District 50 to complete her assignment.'", "relation": "supports", "source_id": "s2" }, { "locator": "Superintendent Chad Allaman's letter: 'Volpe is not returning to the school to finish her educational assignment.'", "relation": "supports", "source_id": "s3" } ], "assertion": "The district told parents she would not return to District 50 to complete her educational assignment.", "causal_attribution": "The district's decision is attributed to its own letter carried by two outlets." } ], "effects": [ { "label": "arrest and loss of a teaching placement after an automated flag escalated a private joke to law enforcement", "claim_id": "c3", "direction": "negative" } ], "sources": [ { "id": "s1", "url": "https://www.pjstar.com/story/news/local/2026/04/10/how-an-fbi-tip-led-to-arrest-of-a-student-teacher-in-washington-illinois/88217675007/", "kind": "news_report_foia_records", "access": "read", "language": "en", "translation_note": "Read in English on 2026-09-15 (datePublished 2026-04-10T11:15Z; 34 paragraphs). Based on sheriff's deputy and detective reports plus body-camera footage obtained by FOIA from the Tazewell County Sheriff's Office.", "independence_group": "pjstar" }, { "id": "s2", "url": "https://www.pjstar.com/story/news/education/2025/01/30/washington-il-student-teacher-makes-inappropriate-shooting-comment-district-says/78061557007/", "kind": "news_report", "access": "read", "language": "en", "translation_note": "Read in English on 2026-09-15 (datePublished 2025-01-30T23:13Z). Based on the District 50 email to parents; withheld the teacher's name.", "independence_group": "pjstar" }, { "id": "s3", "url": "https://www.25newsnow.com/2025/01/31/exasperated-student-teacher-wont-return-after-allegedly-commenting-about-shooting-student/", "kind": "local_tv_news", "access": "read", "language": "en", "translation_note": "Read in English on 2026-09-15 (datePublished 2025-01-31T17:07Z). Attributes to deputies and the school district; names the teacher from jail records — the name is deliberately not carried into this public record.", "independence_group": "week-25news" }, { "id": "s4", "url": "https://thoughtcatalog.com/jeremy-london/2026/08/snapchat-scans-your-private-group-chats-and-a-22-year-old-teacher-found-out-when-deputies-showed-up-to-arrest-her-over-a-joke/", "kind": "content_farm_rehash", "access": "read", "language": "en", "translation_note": "Read on 2026-09-15 (datePublished 2026-08-02). Two substantive paragraphs, 'reportedly' framing, no place, date or document; derivative of the 2025 local reporting with embellishments. Recorded for provenance; never cited as support.", "independence_group": "thought-catalog" } ], "version": 1, "ai_roles": [ "institutional_use" ], "contexts": [ "education", "work", "justice", "privacy" ], "unknowns": [ "The disposition of the disorderly conduct charge (dismissal, plea, supervision) is not reported in the inspected sources.", "The flagging technology Snapchat used (automated classifiers, hash matching or otherwise) is not specified in the inspected records.", "Whether she continued teacher training elsewhere is not reported.", "The school's name appears as 'John A. Hensey School' (Peoria Journal Star) and 'John L. Hensey Elementary School' (25News Now); the discrepancy is unresolved.", "The exact interval between sending the message and the FBI referral is not stated; content-farm claims of 'within an hour' are unverified." ], "geography": { "basis": "Event: John A. Hensey School, Washington, Illinois (25News Now renders the school name 'John L. Hensey Elementary School'), and the Tazewell County Jail. Affected person: the student teacher at that school. No court proceeding is reported, so court_countries is [].", "court_countries": [], "event_countries": [ "US" ], "affected_person_countries": [ "US" ] }, "publication": { "basis": "Published under the 2026-09-15 charter as an institutional-use automated-moderation case: a consequential institutional response (arrest, placement loss) to an automated flag of a private message, documented by FOIA-based local reporting. She is an adult; although local TV named her from jail records, she is not named here because deputies cleared her of intent and republication adds reputational risk without evidential value.", "reviewed_on": "2026-09-15" }, "ai_involvement": { "basis": "Police reports obtained under FOIA state 'the social media site flagged the message and warned the FBI', and the district's email says the language use 'triggered a report to law enforcement'; no human reporter was involved. The flagging technology (automated classifiers or otherwise) is not specified in the inspected records.", "status": "supported" }, "person_relations": [ "made_decision_about", "made_claim_about" ] }, "name": "Washington, Illinois: Snapchat flagged a student teacher's private joke to the FBI; she was arrested at her school and lost her placement", "summary": "On 29 January 2025, a 22-year-old student teacher at a District 50 elementary school in Washington, Illinois, vented in a private Snapchat group chat with her boyfriend and two roommates after a third-grade student turned off her computer mid lesson-plan, asking whether she should 'shoot the child or just the whole school' (per sheriff's reports). Snapchat's systems flagged the message and warned the FBI, which notified the Tazewell County Sheriff's Office at 1:06 p.m. Deputies interviewed her at the school, confirmed she sent it as a joke, searched her phone and belongings with her consent and found no weapons, and arrested her on a disorderly conduct charge; they concluded she had spoken out of 'exasperation' with no intent to harm and no threat to the school. The district told parents she would not return to complete her educational assignment.", "incidentDate": "2025-01-29", "incidentKind": "single_event", "incidentDatePrecision": "day", "exposurePattern": "single_interaction", "reportedDate": "2025-01-30", "aiSystem": "Snapchat automated content-flagging system", "aiCompany": "Snap Inc.", "severity": "medium", "verificationStatus": "credible", "harmCategories": [], "harmOutcomes": [ "legal_harm", "professional_harm" ], "harmOutcomeSummary": "A private joke flagged by an automated system led to an armed-response interview at her workplace, arrest and jail booking on a disorderly conduct charge, and the loss of her student-teaching placement, although deputies and the district concluded she never intended harm.", "frameworkFacets": [], "causationStatus": "supported", "participantUsersAffectedMin": 0, "otherPeopleHarmedMin": 1, "affectedCountStatus": "exact", "affectedCountEvidence": "One documented harmed person: the student teacher, subject to the platform's institutional automated flagging (counted under institutional use, not as an AI user). No student or staff member was aware of the conversation per the district; the referenced third-grade student is not counted as harmed (deputies found no threat and no one else saw the private message).", "victimAgeRange": "adult", "jurisdiction": "US", "platformType": "other", "outcomeType": "criminal_charges", "outcomeStatus": "unknown", "primarySourceUrl": "https://www.pjstar.com/story/news/local/2026/04/10/how-an-fbi-tip-led-to-arrest-of-a-student-teacher-in-washington-illinois/88217675007/", "primarySourceLabel": "Peoria Journal Star (10 Apr 2026) — FOIA-based account: sheriff's reports and body-camera footage", "firstPublishedAt": "2026-09-15T05:24:48.263548+00:00", "scopeVersion": "facts-v3", "tags": [ "privacy", "automated-moderation", "snapchat", "education", "arrest", "institutional-use", "illinois" ] } ] }