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NOPE · AI and people

AI incidents

Reports of AI-related harm and adverse experiences affecting people’s safety, wellbeing, rights and livelihoods. Explore what happened and the evidence available.

NOPE’s core concern is when AI communicates with a person, acts on their behalf, or depicts or impersonates them. The tracker also records consequential decisions, claims and privacy harms involving AI. Each case needs a described connection between AI use and the harm, including private information recorded into or disclosed to an AI service. Each account is reviewed for publication; claims may remain uncorroborated or disputed. How we review and count cases

In this selection

Published cases
89
Countries with reported events
18
Located 60 of 89 cases · 29 unknown
Languages in checked sources
13
Recorded for 89 of 89 cases

65 cases have no reviewed AI-to-person relation yet: 1 not yet reviewed and 64 reviewed as unknown. Show these cases

These figures describe the cases collected by NOPE. Coverage varies with discovery, reporting and available evidence. They do not estimate how often AI-related harm occurs.

Response counts currently use each case’s principal recorded outcome. Further proceedings may be described in its account.

Cases in this selection, counted once in their first known event year. A series may continue beyond that year. Reporting and collection dates are excluded. NOPE has searched recent events more thoroughly than earlier years, so bar heights also reflect collection effort.

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89 of 1099 published cases · page 5 of 5

Mar 2024 to May 2025United StatesOtter Notetaker

United States: seven people who say they had no Otter account allege its AI Notetaker recorded calls without consent; a judge let core privacy claims proceed

Seven people in California, Illinois and Washington state are suing Otter.ai in a consolidated class action in the Northern District of California. Each says another meeting participant used Otter's AI Notetaker on a Zoom or Microsoft Teams call they joined, and that Otter recorded, transcribed and stored their conversation without their consent; six of them date their calls between March 2024 and May 2025. They say they were not Otter account holders. The calls they describe include a medical consultation, meetings with a financial professional and work discussions. They allege that Otter keeps the recordings and uses them to train its speech-recognition models, that it captured voiceprints of the Illinois plaintiffs, and one of them says learning of the recording left him frustrated, embarrassed and stressed. On 13 August 2026 the court found that the alleged interception of private conversations was a concrete injury and let the federal wiretap, California eavesdropping and Illinois biometric claims proceed, while dismissing some claims. Otter's answer to the consolidated complaint, filed on 17 September 2026, says it lacks knowledge of the plaintiffs' experiences and denies the allegations.

Contextual tracker case Low reported severity Lawsuit Ongoing

AI involvement reported · Causal attribution alleged · 6 sources, 3 underlying accounts · Added 29/09/2026

Event date unknownEvent location unknownFacebook video face-scan check

First-person forum account: a Facebook user says a video face-scan security check failed to recognise them after their appearance changed, an automated ID check then rejected their government ID over a nickname, and they were locked out of a five-year-old account

In a public post to r/facebook on 28 September 2026, a user writes that their five-year-old Facebook account was hit with a security check that asked for a video face scan, which 'failed completely'. They say their face had changed a lot through recent life circumstances and 'The AI simply didn't recognize me.' Facebook then asked for ID, and 'the automated system instantly rejected' their government ID because their profile uses a shortened nickname. The poster says they are locked out of years of memories, friends and active Marketplace listings and are looking for a way to reach a human or download their data. Meta has said that video selfies used to regain access to compromised accounts are compared with the account's profile pictures using facial recognition; whether this check worked that way is not known. The account is uncorroborated.

Contextual tracker case Low reported severity

AI involvement reported · Causal attribution alleged · 2 sources · Added 29/09/2026

Event date unknownEvent location unknownGemini note-taking in Google Meet

First-person forum account: an agency employee in England says Gemini note-taking in Google Meet kept transcribing two prospective clients after the agency's boss left the call, and that the boss passed their private post-meeting discussion to staff to shape a follow-up pitch

In a public post to r/LegalAdviceUK on 28 September 2026, an employee of a marketing agency in England writes that their boss pitched a prospective client and the client's business partner on a Google Meet call with Gemini note-taking switched on. After the boss said goodbye and left, the two business partners stayed on the call to discuss the proposal and the other agencies they were considering, and Gemini kept taking notes. The boss then sent the employee the notes and transcript, which named a competing agency and included 'personal details of who they spoke to specifically on the call', and asked for a follow-up deck built on what the partners liked and disliked. The poster believes the partners did not know they were still being transcribed. Google's help page says Meet tells all participants when notes are being taken; whether the partners noticed is not known. The account is uncorroborated.

Contextual tracker case Low reported severity

AI involvement reported · Causal attribution alleged · 4 sources, 2 underlying accounts · Added 29/09/2026

21 Sept 2026 to 25 Sept 2026FrancePangram AI-text detector

Académie Goncourt drops Thélyson Orélien's novel as likely AI-generated after Pangram claims; his publisher later says it found AI traces and ends ties

On 21 September 2026 an anonymous X account, Balance ton Claude, said it had run excerpts of Thélyson Orélien's debut novel C'était ça ou mourir through the American AI-detection software Pangram, with some passages scoring up to 100 per cent probability of AI generation. On 25 September the Académie Goncourt removed the novel from the first selection of sixteen books for its 2026 prize, stating that the work is 'in all likelihood very largely the product of an artificial intelligence', based on 'the convergent result of several analyses by researchers and journalists', and also citing plagiarism in older texts by the author published in Canada (at least one short story and articles), which do not concern the novel. Orélien, a 38-year-old Canadian-Haitian writer whose novel had won the Fnac novel prize, denies using AI and says its repetitions and certain rhythms reflect his linguistic and cultural world and may be misread by automated tools. His Montreal publisher Boréal suspended promotional activities, saying it could neither confirm nor refute the allegations. Essayist Samuel Fitoussi said he was one of the people behind the account. AI-detector reliability is contested in the coverage. In October the author acknowledged plagiarism in some of his earlier work while maintaining that no sentence of the novel was generated by a machine. On 17 October 2026 The Canadian Press, published by CBC, reported that Boréal confirmed he had ended an effort to compile evidence of how the novel was written; Boréal said at that point it would keep selling the book, that sales had slowed since the controversy began, and that it could not verify how the novel was written before it received the manuscript on 12 September 2025. A major Quebec bookstore chain reported no significant change in sales. On 21 October 2026 Boréal announced that it was ending its professional relationship with him and would not reprint the novel or publish any further books by him. It said an external analysis it commissioned of all working versions of the novel revealed traces of AI markers in the metadata of certain documents, and that it does not know to what extent AI was used. In a statement the previous week Orélien had said he used AI tools 'here and there' for research but that the text, structure and plot were his own.

Contextual tracker case Medium reported severity Internal Action

AI involvement reported · Causal attribution disputed · 7 sources, 3 underlying accounts · Added 28/09/2026

23 Jun 2021United StatesUnidentified facial recognition system

Maryland/Oklahoma: Kimberlee Williams, an Oklahoma woman who says she had never been to Maryland, was arrested in June 2021 and jailed about six months on bank-fraud charges in three Maryland counties after a facial-recognition search by an unknown CrimeDex respondent named her; all charges were dismissed by December 2021 and the ACLU filed complaints in April 2026

According to police and bank records reviewed by the Washington Post, in December 2019 a woman made fraudulent withdrawals at a SunTrust branch in Potomac, Maryland; branches in two other Maryland counties were also defrauded. A bank investigator posted the surveillance photos on CrimeDex, an online network of police and corporate investigators; an unknown respondent ran the image through facial-recognition software and returned Kimberlee Williams's name and photo, and the investigator told Montgomery County police that facial-recognition software had identified her. Police in Montgomery, Prince George's and Anne Arundel counties charged her in 2020 on the investigator's identification and their own visual comparison of photos (two departments also cited her old Oklahoma check-fraud convictions), without reported checks of her whereabouts; Montgomery County police did not disclose the facial-recognition search in the charging application, according to police records reviewed by the Washington Post and the ACLU. On 23 June 2021 she was arrested at the gate of Fort Sill near Lawton, Oklahoma, while accompanying her daughter on a DoorDash delivery, spent about three weeks in an Oklahoma jail, was flown to Maryland, and faced 16 charges including 12 felonies. The counties dismissed the charges one after another, in October and December 2021, after about six months in jail. Her daughter says she was depressed afterwards; the ACLU says the ordeal harmed her mental and physical health. On 14 April 2026 the ACLU and ACLU of Maryland sent complaint letters to the three departments seeking an apology and reforms.

Contextual tracker case High reported severity Media Coverage

AI involvement reported · Causal attribution alleged · 4 sources, 3 underlying accounts · Added 27/09/2026

Mar 2026Event location unknownUnidentified AI medical scribe

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

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.

Contextual tracker case Low reported severity Internal Action

AI involvement reported · Causal attribution alleged · 1 source · Added 20/09/2026

1 Aug 2024 to 1 Oct 2024United StatesFACES facial recognition

Florida: 93% facial-recognition hit led to Robert Dillon's arrest as an attempted child abductor; charges dropped, ACLU suit filed

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.

Contextual tracker case Medium reported severity Lawsuit Filed

AI involvement supported · Causal attribution supported · 3 sources · Added 15/09/2026

1 Nov 2024 to 28 Jan 2026United StatesTurnitin AI-text detector

Adelphi accused Orion Newby of AI plagiarism after a detector flagged his paper; a Nassau County judge ordered the finding expunged

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.

Contextual tracker case Medium reported severity Lawsuit Filed

AI involvement supported · Causal attribution supported · 3 sources, 2 underlying accounts · Added 15/09/2026

29 Jan 2025United StatesSnapchat content-flagging system

Washington, Illinois: Snapchat flagged a student teacher's private joke to the FBI; she was arrested at her school and lost her placement

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.

Contextual tracker case Medium reported severity Criminal Charges

AI involvement supported · Causal attribution supported · 4 sources, 3 underlying accounts · Added 15/09/2026

Cases may have several effects and sources. Mixed accounts qualify when they include a reported harm or adverse experience. People are counted within individual cases where sources support a number; we do not publish a collection-wide total of distinct people.

A source’s existence, the experience it reports and AI’s causal role are separate questions. A lawsuit records allegations unless a subsequent finding establishes them.

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Last dataset update: 04/11/2026. Dataset available under CC BY 4.0.