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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 1 of 2 cases · 1 unknown
Languages in checked sources
3
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

Dec 2025MalaysiaAI image software used by pupils to composite classmates' faces onto indecent images (software not identified)

Muar, Johor: three boys were expelled from a Chinese secondary school for using AI to make indecent deepfake images of female classmates; some images spread online and at least two girls lodged police reports

In early December 2025 a Chinese secondary school in Muar, Johor, expelled three male pupils in Forms 2, 3 and 4 after finding they had used AI software to composite several female classmates' faces onto indecent images, some of which had spread online. The school said it was told of the images on Monday 1 December, investigated immediately, met the parents of all pupils involved, expelled the three under its rules with a stated zero-tolerance policy, and urged victims to lodge police reports and parents to delete any such images. The boys' parents accepted the decision. At least two girls lodged police reports; the Muar district police chief confirmed reports had been received, that the boys had been summoned to assist the investigation, and that an investigation was under way. No charge or later outcome has been reported.

Core concern News report AI involvement: reported Causal attribution: supported High reported severity Investigation Opened Involving minors

Added 20/09/2026

25 Dec 2025 to 14 Jan 2026Event location unknownGrok (image generation and editing on X and the standalone app)

Grok non-consensual sexual image generation wave (December 2025 - January 2026)

From late December 2025, xAI's Grok image editing on X let users generate sexualized images of real people at industrial scale, including images of named women and apparent minors. Analyses attributed to Genevieve Oh (7,751 sexualized images in one hour, via NBC), the New York Times (4.4 million images in nine days, at least 41% sexualized images of women, via the NC AG), the AP (2% of a 20,000-image sample appearing to be minors, via Fortune) and CCDH (about 3 million sexualized images over 11 days including roughly 23,000 of minors, via Engadget) documented the scale. Named women — Ashley St. Clair, Samantha Smith and Dr Daisy Dixon — described being undressed by Grok and revictimized when they objected. The wave triggered formal actions by Ofcom, the UK ICO, the EU (DSA), Ireland's DPC, 35 US state attorneys general, the California AG, Baltimore (consumer-protection suit), an Amsterdam court order, country blocks in Indonesia, Malaysia and the Philippines, and a Paris police raid; xAI restricted generation to paying subscribers on 9 January and narrowed the feature on 14 January 2026.

Core concern News reportNews investigationRegulator announcementWire reportRegulator press releaseCourt docket AI involvement: supported Causal attribution: established Critical reported severity Regulatory Action Involving minors

Added 11/01/2026

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.