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NOPE

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

Explore incidents Our scope and evidence

In this selection

Published cases
4
Countries with reported events
3
Located 3 of 4 cases · 1 unknown
Languages in checked sources
3
Recorded for 4 of 4 cases
4Core concern
AI communicated, acted for, depicted or impersonated 1Contextual cases
AI made a decision or claim about someone

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.

0cases with a recorded lawsuit outcome 0cases with a recorded regulatory response 1cases involving minors

Response counts currently use each case’s principal recorded outcome. Further proceedings may be described in its account.

When events happened

56 cases without a known event year

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.

4 2023
Reported severity HighMediumLow
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4 of 1099 published cases

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27 Apr 2023ChinaUnidentified video tool

Anqing, China: police say a nine-second AI face-swap video call posing as an acquaintance led a man to transfer 2.45 million yuan

In April 2023 a man in the Anqing economic development zone, Anhui, received a brief WeChat video call from someone who appeared to be an acquaintance, followed by a QQ message asking him to advance money for a tender; trusting the video call, he had family members transfer 2.45 million yuan. The local police anti-fraud centre found that the fraudsters had used a nine-second AI face-swap video to pose as the acquaintance, Dawan News reported. Police arrested three suspects on 28 April, froze or recovered more than one million yuan, and on 22 May returned 1.32 million yuan to the victim.

Core concern High reported severity Criminal Charges

AI involvement reported · Causal attribution supported · 2 sources, 1 underlying account · Added 22/10/2026

9 Jul 2023IndiaUnidentified video tool

Kozhikode, Kerala: police say a deepfake video call imitating a former colleague cost a retired man Rs 40,000; five later arrested

A retired Union (central) government employee in Kozhikode, Kerala, sent Rs 40,000 on 9 July 2023 after a WhatsApp video call and voice call from someone who looked like a former senior colleague and asked for money for a relative's surgery, the New Indian Express reported; Kerala cyber police traced the money and blocked the recipient account. In June 2024 Kozhikode police said the perpetrator had used AI-powered face-swapping technology to impersonate the former colleague on the video call, and that they had arrested five suspects from several states, according to Mathrubhumi.

Core concern Low reported severity Criminal Charges

AI involvement reported · Causal attribution supported · 2 sources · Added 22/10/2026

2023JapanUnidentified image tool

Tokyo police say a man posted over 500,000 AI-made sexual deepfakes resembling about 300 actresses and idols on paid member sites; arrested in January 2026

The Tokyo Metropolitan Police arrested a 31-year-old unemployed man on 19 January 2026 on suspicion of displaying obscene electronic records, for posting on member sites obscene images made with image-generation AI to resemble female celebrities, the Yomiuri Shimbun reported. Police believe that since summer 2023 he posted more than 500,000 sexual deepfakes using images of about 300 actresses and idols and earned about 11 million yen in viewing fees. According to investigative sources, the charge covers a dozen or so obscene images resembling female celebrities posted on two member sites between December 2024 and May 2025. Police say he trained a freely available image-generation AI on the women's images, advertised with sample images on X and Instagram, and took requests from higher-paying members for which celebrity to depict.

Core concern Medium reported severity Criminal Charges

AI involvement reported · Causal attribution alleged · 1 source · Added 22/10/2026

Jul 2023 to Jan 2024Event location unknownUnidentified image tool

Merseyside police say a man used AI to make 266 indecent pseudo-images of children and made sexual deepfakes of real women; he was jailed in 2024

Merseyside Police said in October 2024 that a Southport man had been jailed for two years and two months at Liverpool Crown Court after pleading guilty to making indecent photographs or pseudo-photographs of a child, sharing an intimate photograph or film, and voyeurism. According to the police, an investigation found that between July 2023 and January 2024 he made 266 indecent pseudo-images of children using AI technology, and that he used the faces of real women and children without their knowledge to create pornographic images, which the force calls deepfakes, and shared them online. Two women described in victim impact statements lasting fear, anxiety and a sense of violation. A woman related to him by marriage later told the Liverpool Echo that explicit images of her, which she found online after anonymous messages in September 2022, were made by other people he had asked to deface her photos, and that the case never went to prosecutors after his arrest in January 2023.

Core concern High reported severity Involving minors Criminal Charges

AI involvement reported · Causal attribution alleged · 5 sources, 2 underlying accounts · Added 20/10/2026

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.