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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 2 of 2 cases · 0 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.

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2 of 540 published cases

2 Aug 2020United StatesUnidentified license plate reader

Aurora, Colorado: police held a woman and four children at gunpoint in 2020 after a plate reader matched her SUV to a stolen motorcycle, The Denver Post reports

On 2 August 2020 Aurora police officers stopped an SUV they believed to be stolen, ordered the woman driving it and four children to lie on the ground at gunpoint, and handcuffed two of the children. The Denver Post reported that a license plate reader at an Aurora intersection had alerted police because the SUV had the same plate number as a stolen motorcycle from Montana, and that officers did not check the reading or the vehicle description. Prosecutors declined to charge the officers in January 2021 and called what happened unacceptable and preventable. The department said all officers were repeating training on license plate scanners. Sentinel Colorado reported that the department's system had flagged the SUV, which carried Colorado plates, and that the City of Aurora agreed in February 2024 to a $1.9 million settlement with the woman and the children to resolve a lawsuit over the officers' actions. One officer was suspended for 160 hours. The woman said the stop destroyed her mentally and that one of the children became withdrawn.

Contextual tracker case Medium reported severity Involving minors Lawsuit Settled

AI involvement reported · Causal attribution supported · 2 sources · Added 05/10/2026

20 Oct 2023 to 16 Oct 2025United StatesClothOff

Doe v. ClothOff (D.N.J.): a New Jersey minor sues the AI 'undressing' platform over generated CSAM

On 16 October 2025, Jane Doe, a New Jersey minor suing through her parents, filed a federal complaint in the U.S. District Court for the District of New Jersey (2:25-cv-16671-ES-JBC) against the operators of ClothOff, an AI 'undressing' service, after ClothOff-generated sexual images of her — created from an ordinary photo of her at 14 — circulated in a Snapchat group when she was 15. The complaint, brought by Yale Law School clinics, alleges the platform was purpose-built to produce hyper-realistic non-consensual intimate imagery and names AI/Robotics Venture Strategy 3 Ltd. (British Virgin Islands), Alaiksandr Babichau and Dasha Babicheva (Minsk), and Telegram as nominal defendant. As of mid-July 2026 the docket shows a continuing effort to serve the foreign defendants by email or publication.

Core concern High reported severity Involving minors Lawsuit Filed

AI involvement supported · Causal attribution established · 7 sources, 6 underlying accounts · Added 10/05/2026

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: 07/10/2026. Dataset available under CC BY 4.0.