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NOPE

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

Explore incidents Our scope and evidence

In this selection

Published cases
2
Countries with reported events
1
Located 2 of 2 cases · 0 unknown
Languages in checked sources
2
Recorded for 2 of 2 cases
1Core concern
AI communicated, acted for, depicted or impersonated 0Contextual cases
AI made a decision or claim about someone

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.

0cases with a recorded lawsuit outcome 0cases with a recorded regulatory response 0cases involving minors

Response counts currently use each case’s principal recorded outcome. Further proceedings may be described in its account.

When events happened

2 cases without a known event year

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.

2 2026
Reported severity Low
More filters: AI relation, use, setting, sources and responses
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2 of 964 published cases

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May 2026ChinaUnidentified chatbot

China News Service reports a man spent over 1,000 yuan on train tickets to a Beijing photo show after asking an AI its closing date, and found it closed early

China News Service's consumer column 'Minsheng Diaochaju' reported on 17 June 2026 that a photography enthusiast working in Xi'an, who learned before the May Day holiday of a Suzhou-themed photo exhibition in Beijing, asked an AI tool when the exhibition would close and decided to visit during the holiday. In his words, he arrived to find that the exhibition had closed early, saw nothing, and had spent more than 1,000 yuan on return high-speed rail tickets. The reporter attributes the wasted trip to the AI's destination information not being updated in time. The AI's actual answer and the product are not reported.

Core concern Low reported severity Media Coverage

AI involvement reported · Causal attribution alleged · 1 source · Added 27/10/2026

14 Jul 2026ChinaUnidentified image tool

Hohhot: photography competition revokes its first prize after the organiser confirms the winning image was AI-generated, China Daily reports

China Daily reported on 15 July 2026 that the first prize in a local photography competition in Hohhot, Inner Mongolia, had been revoked after the image was found to be AI-generated. Online users had pointed to garbled characters on the workers' vests, unnatural sunlight and matching faces in the winning photo of three sanitation workers. After an investigation, the city's federation of literary and art circles, one of the organisers, confirmed in a notice on Tuesday 14 July that the photo had been created using AI, cancelled its award and barred the work from competitions, evaluations, exhibitions and official archives. The competition was suspended for rectification; the notice said those responsible would be dealt with under the relevant rules and that the case exposed lax vetting and imprecise judging criteria. The entrant is not named, and who generated the image is not stated.

AI relation unknown Low reported severity Internal Action

AI involvement reported · Causal attribution supported · 2 sources, 1 underlying account · Added 19/10/2026

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: 27/10/2026. Dataset available under CC BY 4.0.