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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
3
Countries with reported events
3
Located 3 of 3 cases · 0 unknown
Languages in checked sources
3
Recorded for 3 of 3 cases

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.

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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3 of 896 published cases

11 Dec 2025NetherlandsUnidentified AI writing tool (suspected)

Dutch Council of State upholds Maastricht University fraud sanction on a law student whose assignment cited non-existent sources the university attributed to AI

On 11 December 2025 an examination board at Maastricht University found that a European Law School student had committed fraud in a weekly assignment whose purpose was to find and correctly cite legal sources. The board said three of the four sources contained wrong journals, years, titles and page numbers, that the sources did not exist, and that the way they were included pointed to the use of AI; it concluded the student had made unauthorised use of AI. The sanction was a formal warning in the student's file, invalidation of all assessment components of the course and exclusion from the resit. The student argued that no technical analysis or AI-detection tool had been used, that she was never asked whether she had used AI, and that the errors came from completing the work in a hurry from memory and notes with a poor internet connection. The university's examination appeals board rejected her appeal on 5 March 2026, and on 12 August 2026 the Administrative Jurisdiction Division of the Council of State dismissed her further appeal and her claim for damages for reputational and psychological harm.

AI relation unknown Low reported severity Lawsuit Dismissed

AI involvement suspected · Causal attribution supported · 1 source · Added 16/10/2026

3 Apr 2026United StatesTimpani

Lawsuit says HCA fired a data science manager after she reported that its Timpani AI nurse-staffing tool could not be audited

Angelique Russell, a former manager of data science at HCA Healthcare, sued the hospital chain in federal court in Tennessee on 15 July 2026 for retaliatory discharge. Her complaint alleges that she found that Timpani, an AI system whose daily census predictions help set nurse staffing, overwrote the data behind its predictions so that its staffing decisions could not be audited or reproduced; that HCA placed her on a performance improvement plan weeks after she raised this; and that HCA fired her on 3 April 2026, days after she escalated her concerns to its Director of Responsible AI and its compliance department. She says the performance reasons were pretextual. These are allegations; HCA had not formally responded in court when WIRED reported on the suit on 2 October 2026.

AI relation unknown Medium reported severity Lawsuit Filed

AI involvement reported · Causal attribution alleged · 2 sources, 1 underlying account · Added 13/10/2026

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: 24/10/2026. Dataset available under CC BY 4.0.