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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
3
Countries with reported events
1
Located 1 of 3 cases · 2 unknown
Languages in checked sources
1
Recorded for 3 of 3 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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3 of 1099 published cases

Event date unknownChinaUnidentified chatbot

Case report: teenager travelling in China took a nephrotoxic Aristolochia herbal remedy after a commercial chatbot told him it was safe, then had severe nausea

A case series published in the Journal of Family Medicine and Primary Care in 2026 by an author from the Faculty of Health Sciences at Ben-Gurion University of the Negev describes three cases in which chatbots misled patients or families. In the first, a 16-year-old boy with recurring abdominal pain had a severe episode while travelling in China and consulted a local alternative-medicine practitioner, who prescribed an herbal remedy containing Aristolochia (birthwort) extract. Unsure about the treatment, he asked a popular commercial chatbot, which reassured him that the remedy was safe and harmless. The therapy was stopped after three days because it did not help and he developed severe nausea. After returning home he learned that Aristolochia contains aristolochic acid, a nephrotoxin linked to irreversible kidney damage and cancer and banned in many countries. The report does not name the chatbot, say when this happened or report any kidney testing or lasting effect.

Core concern Low reported severity Involving minors Media Coverage

AI involvement reported · Causal attribution alleged · 2 sources, 1 underlying account · Added 23/10/2026

Event date unknownEvent location unknownUnidentified video tool

Montreal: Dr. François Marquis, chief of intensive care at Maisonneuve-Rosemont Hospital, says AI deepfake ads using his face have sold supplements and cancer cures on Facebook since at least August 2025, and that a scam victim who paid hundreds of dollars for pills that never arrived came to the ICU demanding a refund

Dr. François Marquis, chief of intensive care at Maisonneuve-Rosemont Hospital in Montreal, told CBC News (August 2025) and CTV News and CBC News (September 2026) that AI-generated deepfake videos using his likeness keep appearing on Facebook, selling joint supplements, pills and cancer cures and spreading anti-pharmaceutical claims; the latest offers $1 million to dissatisfied customers. He is not on social media and learns of the videos from people who call him. He recounts that a person who paid hundreds of dollars for pills advertised in one of the videos, and never received them, came into the ICU demanding his money back, which he describes as a security problem for the hospital. He has reported the deepfakes to Quebec's College of Physicians, Montreal police and the platforms, but says new videos keep appearing. The makers of the ads are not identified.

Core concern Low reported severity Media Coverage

AI involvement reported · Causal attribution alleged · 3 sources, 1 underlying account · Added 01/10/2026

Event date unknownEvent location unknownChatGPT

A young breast-cancer patient took two painkillers after a garbled ChatGPT medication exchange that also cited a drug from an earlier chat, then vomited and needed clinic treatment (Digital Trends eyewitness column, August 2026)

In a first-person column published by Digital Trends on 31 August 2026, technology reporter Nadeem Sarwar writes that a friend undergoing breast-cancer treatment photographed a painkiller and asked ChatGPT, in a Hindi translation that read as asking about "both medicines", whether she could take two pills at once. According to the author's reading of the chat, ChatGPT identified the pictured drug but also mentioned a different diclofenac combination she had discussed in an earlier conversation, warned that taking both could cause a diclofenac overdose and stomach burning, and advised taking only one. Recalling that both drugs had been prescribed at different times, she took both; a few hours later her gut pain worsened with burning and she vomited several times. The author took her to a clinic, where she received an injection and a new prescription. Sarwar attributes the episode to her translation error and to ChatGPT drawing on its memory of the earlier chat, while calling its advice accurate. The account has not been independently verified.

Core concern Medium reported severity Media Coverage

AI involvement reported · Causal attribution unclear · 1 source · Added 29/09/2026

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.