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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
2
Located 2 of 2 cases · 0 unknown
Languages in checked sources
3
Recorded for 2 of 2 cases

1 case has no reviewed AI-to-person relation yet: 0 not yet reviewed and 1 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 CriticalLow
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2 of 1099 published cases

Aug 2026United StatesUnidentified document-analysis tool

Connecticut court revokes a self-represented plaintiff's e-filing access after finding hidden instructions aimed at AI systems in his filings

In a memorandum of decision issued in early August 2026, a Connecticut Superior Court judge found that a motion for default and a notice filed on 24 July 2026 by a self-represented plaintiff, in a suit against a healthcare provider over access to records, carried text in tiny white type that was invisible to a human reader but legible to software. The concealed text told any AI model reviewing the filing to make its output agree with the filing and to work toward reversing the Chief Clerk's denial of his default request. After the court gave notice of a sanctions hearing, he hid further messages in later filings, which he said were jokes. The court treated the first instruction as a prompt injection, did not believe his explanation that he was auditing the court's use of AI, and rescinded his ability to file electronically, so that future filings must be made on paper at the clerk's office; Ars Technica reports that no monetary penalty was imposed. The court said the Connecticut Judicial Branch does not use AI to review or decide filings and that the motion was denied on its merits from a printed copy, so the hidden text affected no ruling. The plaintiff told Reuters, according to Ars Technica, that his intent was to audit the court.

AI relation unknown Low reported severity Regulatory Action

AI involvement reported · Causal attribution established · 2 sources, 1 underlying account · Added 18/10/2026

6 Mar 2026IndiaChatGPT (reported)

Police say two Surat students found dead had searched ChatGPT about suicide

Two college students were found dead in a washroom on a temple campus in Surat, Gujarat, on 6 March 2026, and police said their preliminary investigation pointed to suicide. Surat police said the students’ phones held ChatGPT search history in which they had asked how to die by suicide. A police inspector told BBC News Gujarati that the searches were on an AI platform and that the reason for the deaths was not yet known. No inspected source describes what ChatGPT replied. Police sent the phones for forensic examination, and in a report published on 10 March 2026 they said that the recent end of romantic relationships may have led to the deaths. No forensic result had been reported in the sources found.

Core concern Critical reported severity Investigation Opened

AI involvement reported · Causal attribution unclear · 8 sources, 4 underlying accounts · Added 23/03/2026

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.