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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

Explore incidents Our scope and evidence

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
2Core concern
AI communicated, acted for, depicted or impersonated 0Contextual 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 2cases involving minors

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

When events happened

2 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.

No known event years in this selection.

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2 of 780 published cases

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Event date unknownUnited KingdomUnidentified image tool

Met Police say a man used AI to turn covert photos of women and children into sexual images; a victim's family moved away while he was on bail

The Metropolitan Police said on 24 September 2026 that a man from London had been sentenced at Wood Green Crown Court to two years and four months after pleading guilty to offences including making indecent images of children and creating a purported intimate image of adults. Detectives established that he had photographed women and children in ordinary circumstances, many from his bedroom window overlooking a children's playground, before using AI to turn the photos into sexually explicit images, including by removing their clothing. A limited number of those photographed have been identified and are receiving specialist support. The Commissioner said a victim and their family felt forced to move to temporary accommodation because the man was bailed to his home near them before sentencing.

Core concern High reported severity Involving minors Criminal Charges

AI involvement reported · Causal attribution supported · 1 source · Added 20/10/2026

Event date unknownEvent location unknownUnidentified image tool

UK prosecutors say a Greater Manchester man used AI tools to turn photos of real children into sexual abuse images he sold to order; jailed for 18 years in 2024

The Crown Prosecution Service said on 28 October 2024 that a man from Bolton had been sentenced at Bolton Crown Court to 18 years' imprisonment with an additional six years on extended licence after pleading guilty to 16 child sexual abuse offences. According to the CPS, he used a computer programme and AI technology to alter photographs of real children into sexual abuse images, which he made to order for people in encrypted chatrooms and sold or shared, and some of the requested images used images of real children. The CPS says he admitted making about 5,000 pounds over 18 months. He was arrested by Greater Manchester Police in June 2023. The BBC court report says the offences were uncovered when he spoke to an undercover officer. He also admitted encouraging the rape of children under 13 in chatrooms.

Core concern Critical reported severity Involving minors Criminal Charges

AI involvement reported · Causal attribution supported · 2 sources · 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: 20/10/2026. Dataset available under CC BY 4.0.