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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
2
Recorded for 3 of 3 cases

2 cases have no reviewed AI-to-person relation yet: 0 not yet reviewed and 2 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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3 of 1099 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

31 Jan 2025 to 12 Dec 2025United StatesUnidentified AI drafting tool

Oregon federal court dismisses family plaintiffs' claims and fines their lawyer after briefs cited 15 nonexistent cases it attributes to generative AI misuse

On 12 December 2025 the U.S. District Court for the District of Oregon dismissed with prejudice the claims of plaintiffs in a family dispute over their late mother's estate and family property, as a sanction for what the court called their misuse of generative artificial intelligence, and found their continual violations of the court's Local Rules an additional basis for the dismissal. Three of the plaintiffs' summary-judgment briefs cited fifteen nonexistent cases and fabricated quotations attributed to eight real authorities. The plaintiffs had said the inaccurate citations came from reliance on an automated legal citation tool. The court found that the plaintiffs shared responsibility with their lead lawyer and that one plaintiff, a frequent self-represented litigant, was likely the person who used AI to draft the briefs. It struck the briefs, ordered the lead lawyer to pay $15,500 to the court and awarded the defendants their fees. In March 2026 it set those fees at $94,704.38, ordering the lead lawyer to pay 85% and local counsel 15%. In June 2026 it denied the plaintiffs' motion to reconsider a later ruling for the defendants on a counterclaim.

Core + contextual relations Medium reported severity Lawsuit Dismissed

AI involvement supported · Causal attribution established · 3 sources, 1 underlying account · Added 15/10/2026

Apr 2025Puerto RicoUnidentified legal research tool (suspected)

Puerto Rico federal judge sanctions a soccer league's lawyers over 55 defective citations he said bore hallmarks of generative AI; the lawyers deny using AI

In an antitrust lawsuit that the Puerto Rico Soccer League brought against FIFA, CONCACAF and Puerto Rican football officials, Chief U.S. District Judge Raúl Arias-Marxuach found dozens of inaccurate or nonexistent legal citations across four filings by the league's two attorneys. According to Law Commentary, he said the errors bore hallmarks of generative AI and found that the lawyers violated Rule 11 by failing to reasonably verify the authorities they cited. Lawyer Monthly reports that the sanctions were decided in April 2025 and that an order of 23 September 2025 set the penalty at $24,492.10, payable to FIFA and the other defendants. Both lawyers have denied using artificial intelligence. In an October 2026 filing FIFA asked the court to dismiss the league's remaining claim because the sanction had not been paid. The lawyers proposed paying $1,000 a month, cited financial difficulties and an injury one of them suffered in March 2026, and argued that dismissal would punish their client for penalties imposed on them personally. The court had not ruled on the dismissal request when these reports were published.

AI relation unknown Low reported severity Lawsuit Ongoing

AI involvement suspected · Causal attribution disputed · 3 sources, 2 underlying accounts · Added 13/10/2026

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.