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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
2
Countries with reported events
1
Located 2 of 2 cases · 0 unknown
Languages in checked sources
1
Recorded for 2 of 2 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 Medium
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2 of 1099 published cases

26 Jun 2025 to 17 Nov 2025United KingdomUnidentified AI tool

UK Upper Tribunal refers a supervising solicitor to the SRA over false citations in judicial review grounds; tribunal records he accepted they were AI-generated

Judicial review grounds lodged in the Upper Tribunal (Immigration and Asylum Chamber) on 26 June 2025 by a solicitors' firm cited four authorities that the judge could not find or that carried wrong citations and propositions. The firm's compliance officer, a solicitor whose name was on the claim form, said a junior fee-earner had drafted the grounds under his supervision; his written explanation named an outdated precedent, practitioner blogs and personal notes as the sources. After a Hamid hearing on 5 November 2025, the tribunal recorded that he accepted the fee-earner had relied on false citations generated by AI, and in a judgment promulgated on 17 November 2025 it referred him to the Solicitors Regulation Authority for the false citations and his failure to supervise. The tribunal said it does not matter how such errors come about. It also announced that the Upper Tribunal judicial review claim form now requires a statement of truth that cited authorities exist and support the propositions they are cited for.

Contextual tracker case Medium reported severity Regulatory Action

AI involvement reported · Causal attribution supported · 1 source · Added 12/10/2026

Event date unknownUnited KingdomUnidentified video tool

Ards and North Down, Northern Ireland: a person lost £250,000 to an investment fraud that began with an AI-generated video of a well-known financial personality

On 7 September 2026 the Police Service of Northern Ireland (PSNI) said a person in the Ards and North Down area had lost £250,000 in what it called a 'sophisticated and substantial' investment fraud. The victim first saw what appeared to be an AI-generated online video featuring a well-known personality from the financial sector promoting an investment with significant returns. After investing a small amount the victim was contacted on WhatsApp and encouraged to pay more, persuaded to open multiple online accounts, to allow the fraudsters remote access to a computer 'to assist with the investment', to borrow money to keep investing, and finally to make further payments to 'release' funds supposedly held in the investment. The PSNI did not name the personality; BBC News NI noted that fabricated endorsements of financial experts such as Martin Lewis, Peter Jones and Steven Bartlett circulate online.

Core concern High reported severity Investigation Opened

AI involvement reported · Causal attribution supported · 3 sources, 1 underlying account · Added 18/09/2026

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.