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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
3
Countries with reported events
2
Located 2 of 3 cases · 1 unknown
Languages in checked sources
1
Recorded for 3 of 3 cases

7 cases have no reviewed AI-to-person relation yet: 0 not yet reviewed and 7 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 Low
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3 of 1101 published cases

2026United KingdomUnidentified AI teaching-monitoring agent

Teachers at UK training firm Multiverse say AI rating of their online lessons caused severe stress and led managers to question them

The Guardian reported on 28 September 2026 that teachers at Multiverse, a UK company that delivers apprenticeship training in computer and AI skills, said an AI monitoring system introduced in recent weeks had caused them severe stress. According to the report, the system analyses and scores transcripts of teachers' online classroom sessions, tags each instructor with a risk status and a percentage confidence score, writes comments on their work and alerts managers when it suspects something is wrong. Teachers who spoke to the Guardian anonymously said the AI monitoring had led managers to pull them up for suspected digressions when they were answering students' questions, that they now felt under continuous scrutiny for several hours a day, and that some staff were on edge, losing sleep and seeking therapy. Multiverse said the AI does not replace human judgment, that only human managers write performance reviews, that the system's most consequential action is to recommend a human review of a session, and that its introduction was announced in advance; it did not directly address the complaints about stress. The accounts are the teachers', relayed by one newspaper.

Contextual tracker case Low reported severity

AI involvement reported · Causal attribution alleged · 1 source · Added 21/10/2026

2026Event location unknownClaude (reported)

First-person post: product team worker says manager ordered repeated rework and wrong product documentation on Claude reviews the worker calls hallucinated

In a Reddit post on 20 October 2026, an associate product manager at a privately owned e-commerce business writes that a new manager, who joined about three months earlier, connected Claude to the company's content management system and Asana and now has every piece of the poster's work reviewed by it. The poster says Claude keeps hallucinating problems that are not there, that the manager does not check the work or read the team's comments, and that the poster has had to redo 500 SKUs and has redone an SKU task five times, so that a task that used to take three days has taken two weeks. The poster also says the manager wants the knowledge base and product pages changed to match Claude's account of the company's own products, which the poster says is wrong because the information comes from the manufacturers. The post does not quote Claude's output, and the manager's account is not recorded. The account is uncorroborated.

Contextual tracker case Low reported severity

AI involvement reported · Causal attribution alleged · 2 sources, 1 underlying account · Added 21/10/2026

6 Oct 2026United StatesUnidentified AI drafting tool (suspected)

Arizona federal court dismisses a Title VII complaint it says appears AI-generated and bars the plaintiff from using AI to draft the amended complaint

On 6 October 2026 a judge of the US District Court for the District of Arizona dismissed a 67-page, 199-paragraph workplace complaint filed on 11 September 2026, saying it appeared to have been generated by artificial intelligence because it resembled other AI-generated complaints the court had encountered. The court dismissed it as a shotgun pleading that did not give the defendant or the court sufficient notice of the claims, which it said shifted between Title VII retaliation, hostile work environment and retaliatory hostile work environment. It granted leave to file an amended complaint of no more than 25 pages by 19 October 2026, prohibited the plaintiff from using AI to draft it and directed entry of a judgment of dismissal with prejudice if no amended complaint is filed. The order does not establish who drafted the complaint or name any AI tool.

Contextual tracker case Low reported severity Lawsuit Dismissed

AI involvement suspected · Causal attribution alleged · 1 source · Added 12/10/2026

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: 11/11/2026. Dataset available under CC BY 4.0.