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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 is wider: it also records consequential decisions and claims about people. 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
3
Recorded for 2 of 2 cases

1 case has no reviewed AI-to-person relation yet: 1 not yet reviewed and 0 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.

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2 of 404 published cases

2025JapanChatGPT

Couple reportedly stranded on Mount Misen after the ropeway had closed despite a 17:30 last-descent time given by ChatGPT

BBC Travel reported on 29 September 2025 that a travel blogger and her husband used ChatGPT to plan a sunset hike up Mount Misen on Itsukushima (Miyajima) in Japan earlier that year. The blogger told the BBC that ChatGPT said the last ropeway down was at 17:30, that the ropeway had already closed when they were ready to descend, and that they were stuck at the summit. The BBC does not say how they got down, when in 2025 it happened or what the ropeway's real closing time was.

Core concern Low reported severity

AI involvement reported · Causal attribution alleged · 2 sources, 1 underlying account · Added 29/09/2026

10 Mar 2025JapanUnidentified image tool

Nagoya, Japan: a former elementary-school teacher was sentenced on 4 June 2026 to three and a half years, including for possessing generative-AI nude images made from school photos of two girls; reported as Japan's first conviction applying the child-pornography law to AI deepfakes

On 4 June 2026 the Nagoya District Court sentenced a 35-year-old former Nagoya municipal elementary-school teacher to three years and six months in prison. Prosecutors had sought six years. He was one of seven current and former teachers from five prefectures charged over a group chat in which members shared secretly filmed images of girls. His offences included secret filming and sharing, and, under the child-pornography law, possessing two generative-AI images showing two real girls apparently naked. According to the police and the judgment summary, he sent photos of the girls from the school where he taught to another member of the group, who made the images on an AI image-editing website. The teacher kept them on his phone, and one was shared in the chat. The judge found the images realistic enough to be mistaken for photographs of the girls. Jiji called it the first case in Japan applying the law to possession of AI-generated sexual deepfakes, and Kyodo called it apparently the first such court finding. A lawyer and a former judge argue the law was stretched.

Core concern High reported severity Involving minors Criminal Charges

AI involvement supported · Causal attribution supported · 9 sources, 8 underlying accounts · Added 14/06/2026

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: 30/09/2026. Dataset available under CC BY 4.0.