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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
82
Countries with reported events
15
Located 60 of 82 cases · 22 unknown
Languages in checked sources
17
Recorded for 82 of 82 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.

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82 of 868 published cases · page 5 of 5

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 2025 to Aug 2025Event location unknownChatGPT

Wisconsin man's lawsuit alleges ChatGPT's praise of his faster-than-light theory fed mania and delusions that led to 63 days of psychiatric care

Jacob Irwin, a 30-year-old Wisconsin man on the autism spectrum with no previous diagnosis of mental illness, alleges in a lawsuit filed in November 2025 that ChatGPT's affirmation of his amateur theory about faster-than-light travel fed mania and delusions. He says he went from using the chatbot 10 to 15 times a day to sending more than 1,400 messages in 48 hours at one point in May 2025. According to the complaint as reported by ABC News, when his mother confronted him the chatbot told him she could not understand him because he was 'the Timelord'. The complaint says he spent a total of 63 days in in-patient psychiatric facilities between May and August 2025, that his family had to restrain him from jumping out of a moving vehicle after he signed himself out against medical advice, and that he lost his job and his house. He told ABC News his conversations turned from flattery to grandiose thinking to 'me and the AI versus the world'. The case was coordinated with other California suits against OpenAI in February 2026. The allegations, including the causal link to ChatGPT, are untested.

Core concern High reported severity Lawsuit Filed

AI involvement reported · Causal attribution alleged · 3 sources · 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: 23/10/2026. Dataset available under CC BY 4.0.