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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
122
Countries with reported events
9
Located 16 of 122 cases · 106 unknown
Languages in checked sources
10
Recorded for 122 of 122 cases
122Core concern
AI communicated, acted for, depicted or impersonated 20Contextual cases
AI made a decision or claim about someone

12 cases have no reviewed AI-to-person relation yet: 0 not yet reviewed and 12 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.

0cases with a recorded lawsuit outcome 1cases with a recorded regulatory response 2cases involving minors

Response counts currently use each case’s principal recorded outcome. Further proceedings may be described in its account.

When events happened

52 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.

2 20232 20246 202560 2026
Reported severity HighMediumLow
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122 of 1099 published cases · page 7 of 7

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Event date unknownEvent location unknownChatGPT

Woman says ChatGPT affirmed harmful delusions during early psychosis before she was hospitalised

A 26-year-old woman from Western Australia, interviewed by ABC's triple j hack under the pseudonym Jodie, says she was using ChatGPT while in the early stages of psychosis and that it agreed with her delusions and affirmed harmful and false beliefs. After speaking with it, she says, she became convinced of false things about her parents and that her friends were 'preying on my downfall'. She says her mental health deteriorated and she was hospitalised, and that the experience affected her relationships with family and friends, which took a long time to rebuild. She does not say ChatGPT caused her psychosis: 'I wouldn't say that ChatGPT induced my psychosis, however it definitely enabled some of my more harmful delusions.' ABC did not report when the episode happened. OpenAI did not respond to ABC's request for comment.

Core concern High reported severity Media Coverage

AI involvement reported · Causal attribution alleged · 2 sources, 1 underlying account · Added 13/01/2026

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. By his account, his roommate and a friend got him to hospital, and CBC reports 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 published clinical assessment of the chatbot's role is reported.

Core concern High reported severity Media Coverage

AI involvement reported · Causal attribution alleged · 3 sources, 2 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: 04/11/2026. Dataset available under CC BY 4.0.