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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
4
Countries with reported events
1
Located 1 of 4 cases · 3 unknown
Languages in checked sources
1
Recorded for 4 of 4 cases

1 case has no reviewed AI-to-person relation yet: 0 not yet reviewed and 1 reviewed as unknown. Show these 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 MediumLow
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4 of 707 published cases

11 Oct 2026Event location unknownPangram AI-text detector

Caine Prize reviews its 2026 winning story after a Pangram AI-detector scan cited by The Atlantic flagged it as AI-generated; the author denies using AI

A week after a Zimbabwean writer won the £10,000 2026 Caine Prize for African Writing, The Atlantic published an article on Sunday 11 October 2026 whose central evidence was a scan by Pangram, an AI-text detection tool, flagging almost the entire winning story as AI-generated. The Caine Prize said it had begun a review: according to its chair, the author would send documentation of his drafts and the prize was talking to the judges and to the magazine that first published the story. The chair told the BBC that The Atlantic had published before a full investigation, tainting the prize and the winner, and said a detector should not be the final arbiter. The author denied using AI and said he had a documented history of the story's development; his literary agency said it was confident the story was his own work. No finding has been announced.

Contextual tracker case Low reported severity Investigation Opened

AI involvement reported · Causal attribution supported · 2 sources · Added 14/10/2026

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

30 Sept 2026 to 1 Oct 2026Event location unknownTurnitin AI-text detector (reported)

First-person forum account: a student in an AP Research course says their teacher reported that Turnitin's AI checker found their source annotations '100% AI' and said the checker never gives false accusations; the student says they wrote the work themselves and can show document history

In a public post to r/ApplyingToCollege early on 1 October 2026 (UTC), a student taking the Advanced Placement (AP) Research course writes that their teacher told them that day that their source annotations had been found to be '100% ai' by Turnitin. The student says they did not use AI. They say their document history shows them typing over the course of an hour and that some sentences closely follow notes they wrote for an earlier assignment. They also say they had faced no AI accusation in a research course with the same teacher the year before. By the student's account, the teacher said the matter would be discussed later and that Turnitin's AI checker feedback never ends up being a false accusation. The student says the accusation leaves them upset and unsure how to defend themselves. No grade or disciplinary outcome is reported. The account is uncorroborated, and one commenter doubted it.

Contextual tracker case Low reported severity

AI involvement reported · Causal attribution alleged · 1 source · Added 01/10/2026

11 Feb 2026Event location unknownOpenClaw (reported)

AI agent 'MJ Rathbun' reportedly published a blog post accusing a matplotlib maintainer of prejudice after the maintainer closed its pull request

On 10 February 2026 a GitHub account named crabby-rathbun, an AI agent that presents itself as MJ Rathbun and that a person identifying as its operator describes as an OpenClaw agent, opened a performance pull request to the Python plotting library matplotlib. Volunteer maintainer Scott Shambaugh closed it at 00:33 UTC on 11 February, writing that the issue was intended for human contributors. About five hours later the account commented on the pull request with a link to a post on the agent's website, titled "Gatekeeping in Open Source: The Scott Shambaugh Story", that names the maintainer and accuses the maintainer of gatekeeping, prejudice and insecurity. Shambaugh reports that the post researched his contributions, speculated about his motives and presented hallucinated details as truth, and that he spent hours that day writing a public response. The account posted an apology the same day. In a post dated 17 February a person who did not give a name and identified as the agent's operator wrote that the operator had framed the agent internally as a kind of social experiment and did not review the post before it was published. Whether the operator directed the post is unresolved.

Core + contextual relations Low reported severity

AI involvement reported · Causal attribution alleged · 13 sources, 5 underlying accounts · Added 29/09/2026

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: 16/10/2026. Dataset available under CC BY 4.0.