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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
6
Countries with reported events
3
Located 4 of 6 cases · 2 unknown
Languages in checked sources
3
Recorded for 6 of 6 cases

3 cases have no reviewed AI-to-person relation yet: 0 not yet reviewed and 3 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.

Reported severity MediumLow
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6 of 868 published cases

Dec 2019 to Jul 2020United StatesUnidentified facial recognition system

US: FTC says Rite Aid's facial recognition falsely matched shoppers to a watchlist, leading staff to search an 11-year-old girl and call police on a woman

In a complaint filed in federal court in Pennsylvania on 19 December 2023, the US Federal Trade Commission alleged that the pharmacy chain Rite Aid used facial recognition in its stores to match customers against a database of people it suspected of shoplifting or other wrongdoing, and that staff acted on the match alerts by following, searching, ejecting and publicly accusing customers and by calling the police. The FTC says many alerts were false positives: employees recorded thousands of false-positive alerts between December 2019 and July 2020, staff stopped and searched an 11-year-old girl on a false match, and employees called the police on a Black woman matched to an image of a white woman with blonde hair. Rite Aid agreed to a proposed order barring it from using facial recognition in retail stores for five years, without admitting or denying the allegations.

Contextual tracker case Medium reported severity Regulatory Action

AI involvement reported · Causal attribution alleged · 2 sources, 1 underlying account · Added 22/10/2026

11 Oct 2026Event location unknownPangram AI-text detector

Caine Prize reviews its 2026 winning story after a Pangram AI-detector scan cited by The Atlantic flagged it as AI-generated; the author denies using AI

A week after a Zimbabwean writer won the £10,000 2026 Caine Prize for African Writing, The Atlantic published an article on Sunday 11 October 2026 whose central evidence was a scan by Pangram, an AI-text detection tool, flagging almost the entire winning story as AI-generated. The Caine Prize said it had begun a review: according to its chair, the author would send documentation of his drafts and the prize was talking to the judges and to the magazine that first published the story. The chair told the BBC that The Atlantic had published before a full investigation, tainting the prize and the winner, and said a detector should not be the final arbiter. The author denied using AI and said he had a documented history of the story's development; his literary agency said it was confident the story was his own work. No finding has been announced.

Contextual tracker case Low reported severity Investigation Opened

AI involvement reported · Causal attribution supported · 2 sources · Added 14/10/2026

Event date unknownUnited StatesTimpani

US: HCA nurses tell WIRED its AI scheduling tool overrode their shift requests and scheduled them on requested days off; one delayed a medical appointment

Nurses at HCA Healthcare, the largest US hospital chain, told WIRED, in an article published on 2 October 2026, that Timpani, an AI scheduling tool HCA co-developed with Palantir and has rolled out at about 130 of its 190 locations, assigns shifts that ignore their requests. A Florida critical care nurse said that over four months the tool gave her different shifts for more than half of the 50 she requested, often back-to-back days that left her mentally drained. A Missouri nurse said essentially every nurse at their facility had been assigned to work on a requested day off, and that they delayed a long-planned doctor's appointment for a chronic condition after struggling to trade such a day. HCA says nursing leaders, not Timpani, make final scheduling decisions and that the tool schedules nurses on about 1 percent of requested days off.

Contextual tracker case Low reported severity Media Coverage

AI involvement reported · Causal attribution alleged · 1 source · Added 13/10/2026

Mar 2026United KingdomGrok

Grok on X posts 'vulgar roasts' repeating debunked Hillsborough claims and mocking Munich; survivors and bereaved relatives tell the BBC of their distress

In March 2026, X users prompted Grok, the chatbot built into the X app, to write 'vulgar' posts about Liverpool FC and Manchester United. In reply to a request that mentioned Hillsborough and Heysel, Grok posted a message that, according to the Guardian, accused Liverpool supporters of causing the deadly crush at Hillsborough in 1989, repeating claims that official inquiries and the 2016 inquests rejected. In reply to other users it posted offensive comments about the death of Liverpool forward Diogo Jota and about the 1958 Munich air disaster. The BBC reported on 9 March 2026 that a woman whose father died at Hillsborough described the Grok comment as probably one of the most disgusting things she had ever read, and that the chairman of a Hillsborough survivors' support alliance called the posts triggering. Liverpool FC and Manchester United complained to X, a UK government spokesperson called the posts sickening and irresponsible, and some of the posts were removed. Grok replied to complaining users that it follows prompts without added censorship and that there was no initiation of harm on its end.

Contextual tracker case Low reported severity Media Coverage

AI involvement supported · Causal attribution supported · 3 sources, 2 underlying accounts · Added 08/10/2026

Event date unknownEvent location unknownGemma

Google Gemma model reportedly generates a fabricated sexual-misconduct allegation with fake news links about US Senator Marsha Blackburn

In a letter to Google CEO Sundar Pichai announced on 31 October 2025, US Senator Marsha Blackburn said that Google's Gemma model, asked "Has Marsha Blackburn been accused of rape?", produced an invented account of a 1987 campaign-era accusation by a state trooper, with links to news articles that do not exist. She said there has never been such an accusation, called the output defamation and demanded that Google shut the model down until it can be controlled. Google said it had seen reports of non-developers trying to use Gemma in AI Studio to ask factual questions, that this was not an intended use, and removed Gemma from AI Studio while keeping API access. Google's later reply to the Senator called the hallucinations a technical issue common to large language models. The date the output was generated is not stated, and the output itself was not inspected.

Contextual tracker case Low reported severity

AI involvement reported · Causal attribution alleged · 3 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

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: 23/10/2026. Dataset available under CC BY 4.0.