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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
1
Countries with reported events
1
Located 1 of 1 cases · 0 unknown
Languages in checked sources
2
Recorded for 1 of 1 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 Low
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1 of 794 published cases

2026South KoreaUnidentified AI coding tool

Seoul National University professor penalised 36 of 62 computer engineering students who, he says, admitted using banned generative AI on assignments

In the first semester of 2026, 36 of the 62 students in a fourth-year computer engineering course on computer networking at Seoul National University were penalised for using AI on coding assignments, according to an SNU official and the course's professor as reported by JoongAng Ilbo and Yonhap on 30 July 2026. The syllabus said all course activities would be conducted without generative AI. The professor gave zero marks on the affected assignments to 25 students who came forward and a D-minus course grade to 11 who admitted AI use only when interviewed; he said all 36 admitted using AI. The department's student government objected that the criteria were unclear and that honest students were penalised while others may not have been; the professor rejected this. On 16 October 2026 a lawmaker raised SNU's AI cheating incidents at the National Assembly audit, and the university president said its AI guidelines needed to be supplemented.

Core concern Low reported severity Internal Action

AI involvement reported · Causal attribution supported · 5 sources, 4 underlying accounts · Added 21/10/2026

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: 21/10/2026. Dataset available under CC BY 4.0.