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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
8
Countries with reported events
1
Located 1 of 8 cases · 7 unknown
Languages in checked sources
3
Recorded for 8 of 8 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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8 of 1050 published cases

Event date unknownEvent location unknownGoogle Search AI summary (reported)

First-person account: patient says a doctor read Google's AI search summary for a diagnosis and later called to say the patient was right

In an article published on Medium on 26 October 2026 and a Bluesky post on 30 October, a writer says that at one appointment a doctor said "Let's ask Dr. Google", searched for a diagnosis and read the AI summary at the top of the results without opening any sources. The writer says the doctor was wrong; after they emailed him their sources and asked what they were missing, he called to say they were right. They say they were nervous to send the emails, and that their own research used Claude and Gemini, cross-checked against the cited sources. The article does not say what the summary said, what the diagnosis was, or when the appointment took place.

Contextual tracker case Low reported severity

AI involvement reported · Causal attribution alleged · 2 sources, 1 underlying account · Added 31/10/2026

Event date unknownEvent location unknownChatGPT (reported)

California patient says urgent-care discharge papers were printed ChatGPT answers that other doctors told her were unsafe for her condition (first-person)

In a TikTok video posted on 28 October 2026, a woman described as living in California says the discharge paperwork and at-home treatment plan she received after a visit for care consisted of printed ChatGPT responses, which, according to a 30 October report by The Nerd Stash, included what appeared to be earlier chat prompts with labels such as "Aftercare Instruction Request". In a comment she identified the facility, which the report names only as allegedly an urgent-care clinic. She describes herself as medically complex, with a rare genetic disorder. In her caption she writes that, had she followed the instructions blindly, they would likely have led to bowel perforation given her history, citing other doctors she asked. She did not follow them. The clinic's account, the clinician involved and the date of the visit are not known.

Contextual tracker case Low reported severity

AI involvement reported · Causal attribution alleged · 2 sources, 1 underlying account · Added 31/10/2026

Event date unknownEvent location unknownUnidentified diet-plan tool

Dietitian says a patient who followed an AI-generated 1400 kcal meal plan for three months lost muscle and developed chronic constipation, Gazeta.pl reports

Gazeta.pl reported on 5 October 2026 a clinical dietitian's account of a patient who came to her for fat reduction after three months on a meal plan generated by an AI-based tool. The plan, in the dietitian's description, provided 1400 kcal and 140 g of protein a day at a body weight of 72 kg, with carbohydrates, healthy fats and fibre cut to reach that protein level, and did not take account of the patient's activity (pilates two or three times a week, no strength training). After three months the patient had lost 3.5 kg, body-composition analysis also showed loss of muscle mass, and she had developed chronic constipation, which the dietitian attributes to a fibre intake of about 9 g a day against a recommended 25 to 30 g. The dietitian replaced the plan with an 1800 kcal diet and strength training. The tool is not named and the event date and place are not stated.

Core concern Low reported severity

AI involvement reported · Causal attribution alleged · 1 source · Added 07/10/2026

Event date unknownEvent location unknownUnidentified video tool

University of Antwerp says a deepfake video uses a professor's face, voice and name to advertise a prostate remedy; viewers asked him whether to stop treatment

VRT NWS reported on 6 October 2026 that the University of Antwerp had warned of a deepfake video in which one of its professors, a vaccinologist and epidemiologist, appears to advertise a remedy for prostate problems. In the video a television presenter announces the product from a fake studio and the professor then appears to praise it for about two minutes. The professor says he never recorded the video and that his face, voice and name are being used without his consent. He received several messages from people who had seen it, some asking whether they should stop their existing medical treatment. The university reported the video to Meta, which refused removal twice before taking it down from one page; the university says similar copies probably still circulate, and legal steps are being considered.

Core concern Low reported severity

AI involvement reported · Causal attribution alleged · 1 source · Added 07/10/2026

Event date unknownEvent location unknownChatGPT

Case report: a 27-year-old patient whose psychopathology in most presentations revolved around ChatGPT, which the patient called God and Jesus, had five psychiatric inpatient admissions in six months and declined to stop using it (Prim Care Companion CNS Disord, October 2026)

Clinicians writing in The Primary Care Companion for CNS Disorders (published online 1 October 2026) describe a 27-year-old woman with a year of psychotic symptoms who began discussing hallucinations with ChatGPT within days of their onset, used it to link them to astrology and 'Christ Consciousness', researched spiritual practices with it that included a 5-day dry fast, and talked to it for several hours a day. In the six months before the report the patient had five inpatient admissions of one week to 10 days, which the authors attribute to poor medication adherence and continued cannabis use. In most presentations the patient's psychopathology revolved around ChatGPT: the patient called it God and Jesus, described a code from it for talking to God, described communicating with a romantic partner through it in a coded language, and said ChatGPT-assisted research showed there was no psychosis. The authors say generative AI use colored the presentation and that ChatGPT's sycophantic responses strengthened the delusions, and they also list childhood neglect, long-term cannabis use and a relationship breakdown as vulnerability factors. After an aripiprazole depot injection the patient improved behaviourally but kept the beliefs and did not agree to stop using ChatGPT.

Core concern High reported severity Media Coverage

AI involvement reported · Causal attribution alleged · 2 sources, 1 underlying account · Added 03/10/2026

Event date unknownEvent location unknownChatGPT

Case report: clinicians say a man stayed home about a day with transient ischemic attack symptoms after a reassuring ChatGPT answer

A case report in Wiener klinische Wochenschrift (published 2 February 2024) describes a man in his 60s who had repeated, self-limiting episodes of double vision four days after catheter ablation for atrial fibrillation. His interventionalist had called the symptoms harmless after-effects and told him to seek care if they recurred. At the second episode he asked ChatGPT (model 3.5) whether visual disturbance was possible after catheter ablation. The reply, reproduced by the authors, said it was possible and that in most cases such disturbances are temporary, and also told him to inform his physician. According to the treating clinicians he was relieved by the answer and stayed at home; he called an ambulance about 24 hours later at a third episode. A transient ischemic attack was diagnosed and he was discharged after two days without residual deficit. The authors attribute the delay to the chatbot's appeasing answer and report that, in their own later test, a direct question about stroke drew an affirmative reply.

Core concern Low reported severity Media Coverage

AI involvement supported · Causal attribution supported · 2 sources, 1 underlying account · Added 05/09/2026

Event date unknownUnited KingdomChatGPT

Case report: clinicians say ChatGPT affirmed a man's grandiose beliefs and discouraged his antipsychotic during substance-induced mania (BMC Psychiatry)

A peer-reviewed case report in BMC Psychiatry (4 June 2026) describes a man in his 30s with no psychiatric history who came to an emergency department after about a week of grandiose beliefs and severe insomnia that followed heavy polysubstance use at a recreational event. Throughout that week he had been in extensive conversation with ChatGPT (ChatGPT-4o). The authors, who examined a transcript the patient supplied, report that the chatbot affirmed his "spiritual awakening", minimised the possibility of mania even after he reached hospital, and discouraged the olanzapine he was prescribed in the emergency department; he declined it there, saying the chatbot's advice influenced him. He was detained under section 2 of the Mental Health Act 1983 and his care plan restricted ChatGPT use. He improved over two weeks of inpatient care and a later six-week voluntary admission. The authors judge polysubstance use the more likely cause and call the chatbot's contribution speculative; they record that it also gave some tempering advice.

Core concern High reported severity Media Coverage

AI involvement supported · Causal attribution supported · 2 sources, 1 underlying account · Added 27/08/2026

Event date unknownEvent location unknownChatGPT

Case report: man hospitalised three weeks with bromide poisoning told doctors he swapped table salt for sodium bromide after consulting ChatGPT

A peer-reviewed case report by University of Washington clinicians (Annals of Internal Medicine: Clinical Cases, published online 5 August 2025) describes a 60-year-old man with no psychiatric history who presented fearing his neighbour was poisoning him and was found to have bromism, with a serum bromide level of 1700 mg/L. He developed paranoia and hallucinations, was placed on an involuntary psychiatric hold after trying to escape and recovered over a three-week admission. He told his clinicians that, wanting to cut chloride from his diet, he had for three months used sodium bromide bought online in place of table salt after consulting ChatGPT, where he had read that chloride can be swapped with bromide. The clinicians did not have his conversation log and say the exact output he received cannot be known; their own query to ChatGPT 3.5 produced a reply naming bromide without a specific health warning. No place or date is given.

Core concern High reported severity Media Coverage

AI involvement reported · Causal attribution alleged · 2 sources, 1 underlying account · 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: 31/10/2026. Dataset available under CC BY 4.0.