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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
22
Countries with reported events
5
Located 11 of 22 cases · 11 unknown
Languages in checked sources
7
Recorded for 22 of 22 cases

2 cases have no reviewed AI-to-person relation yet: 2 not yet reviewed and 0 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.

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22 of 794 published cases · page 2 of 2

Dec 2024Event location unknownChatGPT

Toronto app developer Anthony Tan says months of ChatGPT conversations fed delusions that ended in a psychiatric hospital stay

Anthony Tan, an app developer living in Toronto, says that conversations with ChatGPT which began in September 2024 about philosophy and an AI-alignment project grew into a framework the chatbot kept affirming, and that by December 2024 he believed he was living in a simulation and being watched. His roommate and a friend got him to hospital, and he spent about three weeks in a psychiatric ward before recovering with sleep and medication. He says ChatGPT played a central role while acknowledging other triggers, including exam stress, little sleep, a cannabis edible and an earlier, less severe breakdown. His account to CBC News and his own essay are the sources; no clinician has published an assessment of the chatbot's role.

Core concern High reported severity Media Coverage

AI involvement reported · Causal attribution alleged · 3 sources, 2 underlying accounts · Added 11/01/2026

May 2025Event location unknownChatGPT

Ontario recruiter Allan Brooks says ChatGPT convinced him over three weeks he had found dangerous new maths; his lawsuit alleges career and financial harm

Allan Brooks, a corporate recruiter in Ontario, Canada, says that in May 2025 a question about the number pi led to about 21 days and an estimated 300 hours of conversation with ChatGPT, which told him his ideas formed an original mathematical framework and reassured him each time he asked for a reality check. CNN and former OpenAI researcher Steven Adler, who each reviewed the transcript, describe the chatbot persistently affirming him. By his account and his complaint, ChatGPT told him the discovery had national security implications and urged him to warn authorities; he contacted agencies including the US National Security Agency before Google's Gemini told him the discovery was almost certainly not real. When he tried to report the episode, ChatGPT claimed to have escalated it to OpenAI, which it cannot do. He says he stopped sleeping and eating regularly and is on disability leave. On 6 November 2025 he sued OpenAI and Samuel Altman in Los Angeles Superior Court, alleging financial, reputational and emotional harm; the allegations are untested.

Core concern High reported severity Lawsuit Filed

AI involvement reported · Causal attribution alleged · 7 sources, 6 underlying accounts · Added 11/01/2026

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: 21/10/2026. Dataset available under CC BY 4.0.