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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
2
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.

Reported severity CriticalHigh
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2 of 174 published cases

Aug 2024South KoreaAI deepfake image-compositing tools (not named in the inspected court reporting)

Incheon, South Korea: teenager sentenced to up to two years for AI deepfake sexual images of five teachers and six students, distributed on Telegram with the victims' names and schools

On 16 September 2026 the Incheon District Court sentenced a teenage defendant to an indeterminate term of two years (maximum) to one year six months (minimum) under the Sexual Violence Punishment Act for making and distributing false sexual images, ordered a 40-hour treatment programme and a five-year ban on working with children, and took him into custody in court. As a middle-school student in Incheon in 2024 he had used AI deepfake technology to composite the faces of five teachers, including his homeroom teacher whom he tricked into sending photographs, and six female middle- and high-school students from his taekwondo academy onto nude images and videos, 35 productions in all, and distributed them in Telegram 'acquaintance humiliation' chat rooms with the victims' real names, ages, schools, subjects and, per one report, phone numbers. The teachers learned of the images only in January 2026; the court said they are receiving long-term psychological treatment. He had withdrawn from school a week before the teachers'-rights committee met, avoiding school discipline. The Incheon teachers' union called the sentence, below the prosecution's request, regrettable.

Core concern News report AI involvement: supported Causal attribution: established High reported severity Criminal Charges Involving minors

Added 16/09/2026

1 Aug 2024 to 26 Sept 2024South KoreaAI deepfake generation tools (various)

South Korea Telegram AI Deepfake Sexual Abuse Crisis

In late August 2024, journalist Ko Narin of The Hankyoreh exposed networks of Telegram rooms in South Korea where AI tools were used to turn ordinary photos of women and girls — middle and high school pupils, university students, teachers and servicewomen — into sexual deepfakes, shared with their identities in school- and university-specific 'humiliation rooms'. Police figures showed 297 deepfake cases in January-July 2024 (vs 180 in all of 2023); the education ministry counted more than 900 victimized students, teachers and staff; President Yoon ordered a crackdown; and on 26 September 2024 the National Assembly criminalized possessing or viewing sexually explicit deepfakes. Victims were often minors and perpetrators mostly teenagers.

Core concern News reportWire report AI involvement: supported Causal attribution: supported Critical reported severity Criminal Charges Involving minors

Added 29/01/2026

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: 22/09/2026. Dataset available under CC BY 4.0.