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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 4 of 4 cases · 0 unknown
Languages in checked sources
5
Recorded for 4 of 4 cases
10Core concern
AI communicated, acted for, depicted or impersonated 4Contextual 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.

1cases with a recorded lawsuit outcome 2cases 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

0 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.

1 20241 20252 2026
Reported severity HighMedium
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4 of 665 published cases

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Sept 2026PakistanClaude (reported)

Karachi, Pakistan: teenager detained and released after Claude flagged his fiction-writing queries and the report reached the FBI, officials say

A teenager in Karachi was detained by Pakistan's National Cyber Crime Investigation Agency (NCCIA) and later released after his questions to an AI chatbot about how a character in a crime story could be killed were flagged, according to officials quoted by ARY News (29 September 2026) and the NCCIA as cited by ProPakistani (2 October 2026). ProPakistani reports that, according to the NCCIA, the platform's safety system flagged the queries on 4 September and the information was reportedly shared with the US FBI, which passed it to Pakistani authorities; ARY reports that the NCCIA carried out a raid and detained him. Bloom Pakistan, relaying The News, names the chatbot as Anthropic's Claude and reports that Anthropic reported the activity to the FBI. Officials said he told investigators he was writing a fictional crime story, and he was released after questioning; Bloom, relaying The News, says investigators found no grounds for prosecution but remained concerned.

Core + contextual relations Medium reported severity Involving minors Investigation Opened

AI involvement reported · Causal attribution supported · 3 sources, 2 underlying accounts · Added 14/10/2026

19 Jun 2026 to 13 Aug 2026BrazilChatGPT and OpenAI moderation

Brazilian man detained without charge after OpenAI reported messages; he denies intending harm

BBC reporting describes a Brazilian man detained for 54 days after OpenAI reported messages to the FBI and Brazilian authorities. Police described a credible threat; he denied intending harm. A court released him without charges under protective conditions. The report did not include ChatGPT’s replies.

Core + contextual relations High reported severity Investigation Opened

AI involvement supported · Causal attribution supported · 4 sources, 2 underlying accounts · Added 23/09/2026

1 Oct 2024 to 1 Aug 2025United StatesUnidentified facial recognition system

Phoenix lawsuit alleges a facial-recognition lead contributed to a wrongful arrest

Javier Lorenzano Nunez was arrested in October 2024 for the 1998 murder of Sarah Carr after investigators ran the old suspect's MVD photo through facial recognition databases, got 250 possible matches and zeroed in on him — with Phoenix police publicizing the arrest in a press release and a special video. Charges were dismissed without prejudice in August 2025 after forensic evidence, including DNA and fingerprints, excluded him. His lawsuit alleges Phoenix police knew from a 2017 fingerprint analysis that his prints did not match, and ignored a 2007 Puerto Rico lead on the original suspect with the same name, date of birth and social security number. He spent nearly a year in jail. The federal suit against the Phoenix Police Department and the Maricopa County Attorney's Office alleges gross negligence, false arrest, false imprisonment and defamation.

Contextual tracker case High reported severity Lawsuit Filed

AI involvement supported · Causal attribution supported · 2 sources · Added 15/09/2026

29 Jan 2025United StatesSnapchat content-flagging system

Washington, Illinois: Snapchat flagged a student teacher's private joke to the FBI; she was arrested at her school and lost her placement

On 29 January 2025, a 22-year-old student teacher at a District 50 elementary school in Washington, Illinois, vented in a private Snapchat group chat with her boyfriend and two roommates after a third-grade student turned off her computer mid lesson-plan, asking whether she should 'shoot the child or just the whole school' (per sheriff's reports). Snapchat's systems flagged the message and warned the FBI, which notified the Tazewell County Sheriff's Office at 1:06 p.m. Deputies interviewed her at the school, confirmed she sent it as a joke, searched her phone and belongings with her consent and found no weapons, and arrested her on a disorderly conduct charge; they concluded she had spoken out of 'exasperation' with no intent to harm and no threat to the school. The district told parents she would not return to complete her educational assignment.

Contextual tracker case Medium reported severity Criminal Charges

AI involvement supported · Causal attribution supported · 4 sources, 3 underlying accounts · Added 15/09/2026

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: 14/10/2026. Dataset available under CC BY 4.0.