Skip to main content
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
3
Countries with reported events
1
Located 3 of 3 cases · 0 unknown
Languages in checked sources
2
Recorded for 3 of 3 cases
3Core concern
AI communicated, acted for, depicted or impersonated 1Contextual cases
AI made a decision or claim about someone

1 case has no reviewed AI-to-person relation yet: 1 not yet reviewed and 0 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 0cases with a recorded regulatory response 1cases involving minors

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

When events happened

9 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.

3 2026
Reported severity HighMedium
More filters: AI relation, use, setting, sources and responses
Clear filters

3 of 868 published cases

Export JSONExport CSV
Jan 2026ChinaUnidentified AI search tool

Hangzhou hospital says a man took three times the standard antiviral dose after AI advice gave tablet counts, not grams, and developed acute kidney injury

Zhejiang Provincial Tongde Hospital in Hangzhou told Red Star News (relayed by China News Service on 26 January 2026) that a patient with a cold sore had recently used AI online to look up treatment, bought valaciclovir and took it as advised. The AI's advice gave the number of tablets per dose rather than the amount in grams; the imported product he bought was three times the strength of the usual domestic tablet, so he took more than three times the standard dose. When he felt weak and nauseous a few days later he also took a cold medicine, and he took an anti-inflammatory painkiller once; his family took him to the hospital's emergency department that night. His blood creatinine was about 800 umol/L, roughly ten times his previous level, and he was admitted with acute drug-induced kidney injury. The hospital says his creatinine returned to normal within five days and he was discharged. The AI tool and its exact wording are not identified.

Core concern Medium reported severity Media Coverage

AI involvement reported · Causal attribution alleged · 2 sources, 1 underlying account · Added 16/10/2026

2026ChinaUnidentified mushroom-identification tool

Zhuji, Zhejiang: reports say a man ate wild mushrooms after an AI photo check called them non-toxic; rhabdomyolysis and acute kidney failure treated in an ICU

A man in Zhuji, Zhejiang province, gathered wild mushrooms near his home, photographed them and asked an AI tool whether they were poisonous, according to a Science and Technology Daily item carried by Qingdao Daily on 20 August 2026 (citing Zhuji Daily) and reports by the World Journal (20 August) and Sing Tao (21 August) citing Dushi Kuaibao's Chengshi app. The reports say the tool answered that the mushrooms were non-toxic and he cooked and ate them at noon. That afternoon he developed severe abdominal pain, repeated watery diarrhoea and aching arms; at Zhuji People's Hospital his creatine kinase was reported at 28,771 U/L, about 100 times the normal value, with acidosis and raised lactate, and doctors diagnosed rhabdomyolysis and acute kidney failure. He was moved to the intensive care unit, treated to remove the toxin and protect organ function, and has since been discharged. The AI tool is not named, its output is not reproduced, and the account rests on one hospital-and-local-press account relayed by two chains.

Core concern High reported severity Media Coverage

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

Jun 2026ChinaUnidentified mushroom-identification tool

Wuhan, China: reports say a family ate wild mushrooms an AI identification tool called non-poisonous and a 9-year-old fell critically ill; one cites amatoxin

A family from Wuhan, Hubei province, gathered wild mushrooms resembling the edible termite mushroom (jizong) during a mountain outing in June 2026 and, according to a Guangming Online post carried by The Paper on 5 July 2026 and an Asahi Shimbun report of 6 July citing the Changjiang Daily, ran an AI identification tool on them. The tool returned a "non-poisonous" result and the family cooked and ate the mushrooms. According to the Guangming Online post, all three family members vomited soon after the meal and again before dawn the next day; they were admitted to Zhongnan Hospital of Wuhan University, where the 9-year-old child was moved to the paediatric intensive care unit the same afternoon. The post says the child had amatoxin poisoning that progressed to the most severe grade, with acute liver failure, hepatic encephalopathy and fluid in the chest and abdomen, and went home after eight days in hospital. The AI tool is not named, its output is not reproduced, and the account comes from one reporting chain.

Core concern High reported severity Involving minors Media Coverage

AI involvement reported · Causal attribution alleged · 2 sources, 1 underlying account · Added 09/10/2026

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.

Methodology and corrections · Subscribe via RSS · Suggest a case or correction · Find support

Last dataset update: 23/10/2026. Dataset available under CC BY 4.0.