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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
—
Located 0 of 2 cases · 2 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. NOPE has searched recent events more thoroughly than earlier years, so bar heights also reflect collection effort.

Reported severity Medium
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2 of 1099 published cases

Event date unknownEvent location unknownUnidentified image tool

Chinese court orders clothing shop to pay treble damages after its AI-generated product photos, claimed as real, misled an online buyer

In a consumer-protection typical case released on 12 March 2026, the Guangzhou Intermediate People's Court described a buyer who paid 411 yuan on a shopping platform for two women's tops after asking whether the model photos were real and being told that all the shop's pictures were real photographs. The garments that arrived differed markedly from the pictures in pattern, cut and style, and on review the pictures were all AI-generated, with no real photographs and no AI label on the product pages. The buyer sued for a refund and treble damages. The court held that businesses must review content they generate with AI, that undisclosed AI images differing significantly from the goods which lead a consumer to buy amount to consumer fraud, and that the clothing company must pay treble compensation. The release as relayed does not give the dates, the court of first instance or the amount.

Core concern Low reported severity Lawsuit Filed

AI involvement supported · Causal attribution supported · 2 sources, 1 underlying account · Added 24/10/2026

2025Event location unknownUnidentified image tool

Brazilian court orders Telegram to pay a woman damages after it ignored her reports of a group sharing AI-made fake intimate images of her

A civil court in Goiânia, Brazil (32ª Vara Cível) ordered Telegram in a judgment signed on 6 October 2026 to pay R$10,000 in moral damages to a woman whose fake intimate images, created with artificial intelligence, were shared on the platform. According to the judgment as reported by Portal 6 (citing the legal news site Rota Jurídica) and O Popular, Telegram users used AI tools to alter photos that she and her sisters had posted on social media into nude and sexual images, and shared them without consent in a group of more than 120 participants with offensive sexual comments. She reported the group to Telegram through its support channels, including a notification on 29 July 2025, and received no reply; the group had 98 participants then and at least 123 a month later. The court held Telegram liable because it did not remove the posts after notification, ordered removal of the material, measures to block identical or similar copies, and disclosure of data identifying the group's creators and users. Telegram did not contest the case and did not answer O Popular.

Core concern Medium reported severity Lawsuit Ongoing

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: 04/11/2026. Dataset available under CC BY 4.0.