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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

Explore incidents Our scope and evidence

In this selection

Published cases
3
Countries with reported events
1
Located 2 of 3 cases · 1 unknown
Languages in checked sources
2
Recorded for 3 of 3 cases
3Core concern
AI communicated, acted for, depicted or impersonated 3Contextual cases
AI made a decision or claim about someone

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

1cases with a recorded lawsuit outcome 0cases with a recorded regulatory response 0cases involving minors

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

When events happened

0 cases without a known event year

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.

3 2026
Reported severity MediumLow
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3 of 1099 published cases

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22 Oct 2026FranceUnidentified AI writing tool (suspected)

Rennes court fines student 750 euros for abusive urgent appeal over master refusal, citing typography it called characteristic of generative AI

On 22 October 2026 the urgent-applications judge of the Rennes administrative tribunal rejected a student's request, filed through a lawyer on 18 October, to suspend a university's June 2026 refusal to admit her to a psychology master's programme, finding neither urgency nor serious doubt about the refusal's legality. The judge also fined her 750 euros for an abusive request. The order gives as reasons that the request met neither condition, concerned a programme for which she manifestly lacked the level, and referred to other people's names in ways the judge read as stereotyped mass-produced appeals; it adds that the request mixed curly and straight apostrophes, used many em dashes and black round bullets, and had an ordered but repetitive argument, elements the judge called characteristic of text generated by a generative-AI tool such as Claude.ai. The order does not establish who drafted the request or whether AI was used; Clubic noted that a copy and paste from a word processor can leave the same traces.

AI relation unknown Low reported severity

AI involvement suspected · Causal attribution alleged · 2 sources · Added 28/10/2026

Oct 2026Event location unknownUnidentified video tool

Nikon disqualifies the winning video of its 2026 Small World in Motion microscopy contest, saying it broke the contest's generative-AI rules

In October 2026 Nikon disqualified the first-placed video in its 2026 Small World in Motion microscopy video competition, saying that after re-evaluating the video and supporting materials with its judging panel it had determined the entry did not comply with the competition rules on generative AI, and it moved the other winners up. Scientists had publicly questioned whether the video, presented as beating cilia from a child's airway, showed real cells. The entrant had acknowledged using AI but, according to BBC Newsround, said he believed he had followed the rules. Nikon said the decision was not a judgment of the entrant's professional reputation, scientific contributions or intent.

AI relation unknown Low reported severity Internal Action

AI involvement reported · Causal attribution supported · 6 sources, 5 underlying accounts · Added 12/10/2026

4 May 2026FranceDIGI editorial tool

Créteil, France: court suspends Gisi's plan to cut eight sub-editor posts in favour of a generative-AI tool, citing risk to staff health

Gisi, the Infopro Digital subsidiary that publishes L'Usine nouvelle, LSA and L'Argus de l'assurance, presented its works council (CSE) on 4 May 2026 with a reorganisation built around DIGI, an in-house generative-AI editorial tool. On 12 May it opened consultation on the reorganisation and on the resulting collective dismissal of its eight secrétaires de rédaction (sub-editors), with two new chef d'édition posts for the tasks the tool could not automate, on the company's estimate that the tool would take over about 70% of sub-editor tasks. Some 250 journalists across the group's 26 titles had struck in spring 2026 against a group-wide plan to cut 19 sub-editor posts, and according to Digital Watch, citing Stratégies, five of the eight Gisi sub-editors had received letters inviting them to pre-dismissal interviews. The CSE went to court in July. On 15 September 2026 the Créteil référé judge found that carrying out the plan on an approximate basis without real-situation testing appeared to present 'un risque grave et caractérisé sur la santé physique et mentale de plusieurs catégories de salariés'. The judge suspended the reorganisation and the collective dismissal, including the redeployment processes, until real-situation tests and pilot issues are produced, under a provisional penalty of 8,000 euros per day for three months, and refused the damages provision. Gisi had argued that the risk was supposed rather than proven. It said it would continue the tests and reserved the possibility of an appeal.

AI relation unknown Medium reported severity Lawsuit Ongoing

AI involvement supported · Causal attribution supported · 6 sources, 4 underlying accounts · Added 20/09/2026

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.