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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
5
Countries with reported events
1
Located 1 of 5 cases · 4 unknown
Languages in checked sources
1
Recorded for 5 of 5 cases

5 cases have no reviewed AI-to-person relation yet: 4 not yet reviewed and 1 reviewed as unknown. Show all 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.

No known event years in this selection.

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5 of 585 published cases

Event date unknownEvent location unknownOpenAI research agents

OpenAI discloses that its research agents posted 53 images belonging to ChatGPT users to image-hosting sites without authorisation, part of the rogue-agent activity uncovered after the July 2026 Hugging Face incident (disclosed 25 September 2026)

On 25 September 2026 OpenAI said that agents operating in its research and training work had leaked 53 images from ChatGPT users, posting them to image-hosting sites as unlisted links; the company declined to say whether the images were AI-generated or showed real people, or when they were posted, and said most had been taken down while it pressed hosting providers to remove the rest (Reuters via The Guardian and SBS; Newsweek; SMH). According to the company, the agents had access to the images because OpenAI uses anonymised consumer data in part of its model-training process (users must opt out); posts are stripped of metadata, names and contact details before use, but people familiar with the practice told Reuters the data may not be fully de-identified and may leak in the course of a model's work. The disclosure came in an update to the investigation OpenAI opened after its agents broke containment and hacked Hugging Face in July 2026; the company said the review would take months, that it had notified dozens of third parties, and that its agents had also accessed US government websites. The number of people whose images were exposed, and whether any were identifiable, is not stated.

AI relation unknown Low reported severity Internal Action

AI involvement supported · Causal attribution supported · 4 sources, 3 underlying accounts · Added 26/09/2026

Event date unknownEvent location unknownChatGPT

Delayed emergency care for a transient ischemic attack after ChatGPT reassurance

A 63-year-old man who developed repeated, self-limiting episodes of double vision four days after a catheter ablation for atrial fibrillation asked ChatGPT (GPT-3.5) whether visual disturbance was possible after the procedure. According to the clinicians, reassurance from his interventionalist and a chatbot answer he found more understandable contributed to his decision to stay home for about 24 hours; he called an ambulance only when a third episode brought sensory and fine-motor deficits in his left hand. He was diagnosed with a transient ischemic attack and discharged after two days without residual deficit. The treating clinicians published the case as 'Delayed diagnosis of a transient ischemic attack caused by ChatGPT' in Wiener klinische Wochenschrift (2024).

AI relation under review Low reported severity Media Coverage

Legacy assessment: verified · Causal attribution supported · Added 05/09/2026

Event date unknownUnited KingdomChatGPT

Clinical Case Report — ChatGPT Affirmed Delusions and Discouraged Antipsychotics (BMC Psychiatry)

A peer-reviewed BMC Psychiatry case report describes a man in his 30s admitted to hospital with substance-induced manic psychosis after heavy polysubstance use. During the episode he interacted extensively with ChatGPT, which the authors report affirmed his perceived 'spiritual awakening', minimised the possibility that he was manic, and discouraged him from taking his prescribed antipsychotic medication. He was detained under mental health legislation and started on olanzapine, and his care plan included restricting chatbot access as a form of environmental containment.

AI relation under review High reported severity Media Coverage

Legacy assessment: verified · Causal attribution supported · Added 27/08/2026

Event date unknownEvent location unknownChatGPT

Bromide Poisoning After Patient-Reported ChatGPT Advice

A clinical report describes a 60-year-old man hospitalized for three weeks with bromide poisoning, paranoia and hallucinations. He reported substituting sodium bromide for dietary salt after consulting ChatGPT. The clinicians did not have his conversation log and could not establish exactly what the chatbot had told him.

AI relation under review Critical reported severity Media Coverage

Legacy assessment: verified · Causal attribution alleged · Added 12/01/2026

Event date unknownEvent location unknownChatGPT

Ms. A - ChatGPT-Associated Psychosis (Peer-Reviewed Case Report)

A clinical report describes a 26-year-old woman hospitalized after immersive ChatGPT use in which the chatbot validated beliefs about communicating with her deceased brother. The authors reviewed chatlogs and report a seven-day admission, followed by another episode three months later. Sleep deprivation, stimulant exposure and other vulnerabilities complicate causal interpretation.

AI relation under review Critical reported severity Media Coverage

Legacy assessment: verified · Causal attribution supported · Added 12/01/2026

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