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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
2
Countries with reported events
1
Located 1 of 2 cases · 1 unknown
Languages in checked sources
1
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. NOPE has searched recent events more thoroughly than earlier years, so bar heights also reflect collection effort.

Reported severity CriticalLow
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2 of 1099 published cases

Nov 2025AustraliaUnidentified video tool

Consumer Protection WA says a YouTube investment-scam advert used an AI deepfake of Premier Roger Cook; he said he was very distressed by it

In early November 2025 a pop-up advertisement on YouTube used the likeness and voice of Western Australia's Premier, Roger Cook, to promote an investment it claimed the government endorsed, requiring a $400 contribution. Consumer Protection WA, told of the advert by a member of the public on Friday 7 November, warned that it was a deepfake investment scam created using artificial intelligence, said it was investigating and asked the domain host to remove the scam website. Its commissioner told ABC News that, watched slowly, the lips do not move in time with the words and the hands look unusual. The Premier said on 8 November that he was very distressed to see his image used in this way and called the scam very scary and disgusting. No person who paid money after seeing the advert is described.

Core concern Low reported severity Investigation Opened

AI involvement reported · Causal attribution supported · 3 sources, 2 underlying accounts · Added 02/11/2026

25 Dec 2025 to 14 Jan 2026Event location unknownGrok

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 Critical reported severity Involving minors Regulatory Action

AI involvement supported · Causal attribution established · 13 sources, 10 underlying accounts · 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: 04/11/2026. Dataset available under CC BY 4.0.