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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
2
Located 3 of 3 cases · 0 unknown
Languages in checked sources
2
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.

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3 of 1099 published cases

May 2026ChinaDoubao (reported)

Nanning paper reports parents fed their one-month-old 60 ml per feed for a week on Doubao's advice and the baby gained no weight; Doubao calls it untrue

Nanguo Zaobao, a Nanning daily, reported on 27 May 2026 that first-time parents in Nanning, Guangxi, had fed their one-month-old baby strictly 60 ml of milk per feed for about a week because, by their account, the chatbot Doubao had advised that amount. The baby cried constantly and slept only when exhausted. At a jaundice recheck in late May the hospital's neonatology director said a full-term one-month-old normally takes 80 to 100 ml per feed and that the baby had not gained even half a kilogram. On 28 May Doubao called the report untrue, saying its own repeated tests did not produce that advice. The conversation itself has not been published.

Contextual tracker case Medium reported severity Involving minors Media Coverage

AI involvement disputed · Causal attribution disputed · 3 sources, 2 underlying accounts · Added 26/10/2026

2026IsraelChatGPT (reported)

Mother tells Ynet she waited two days after ChatGPT, while advising a check, said it was relatively rare; her teenage son lost a testicle

Ynetnews reported on 12 April 2026 that doctors at Meir Medical Center had seen three teenage boys lose a testicle in the past month after arriving too late for treatment of testicular torsion. The mother of one of them told Ynet that when her son complained of lower abdominal pain she thought it might be constipation and consulted ChatGPT, which gave several options, said it could be something serious and that they should get it checked, but also said it was relatively rare, so they thought they could wait. After two days without improvement the boy's testicle was swollen and he could hardly walk; an urgent care clinic sent them to hospital and ChatGPT, consulted again, told them to go to the emergency room immediately. At the hospital, late at night, doctors diagnosed severe torsion, operated and removed the testicle; the boy is recovering at home. The doctors attribute the month's unusually high rate of complications mainly to delayed arrival at the emergency room, which they say the war has partly influenced.

Contextual tracker case High reported severity Involving minors Media Coverage

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

Aug 2026ChinaUnidentified symptom-analysis tool

Zhejiang toddler hospitalised with pneumonia after his mother relied on an AI tool's asthma diagnosis and declined a chest X-ray (newspaper account)

A Guangming Daily feature on AI symptom-checking, republished by Bingtuan Daily on Sina Finance on 8 October 2026, recounts a case from August 2026 in Zhejiang and closes it with a quotation from the head of paediatrics at a provincial hospital, who says the family did not heed the doctor's advice. A three-year-old boy with a history of asthma was brought in; his mother had entered keywords such as allergy, asthma, cough and night-time wheezing into an AI tool, which quickly returned a diagnosis of an acute bronchial asthma attack. On that basis, the account says, she declined the chest X-ray the doctor recommended and insisted on taking home only nebuliser medication. Two days later the child's condition worsened with rapid breathing; on an overnight return to the hospital, examination found extensive inflammatory lesions in both lungs, and he was diagnosed with human metapneumovirus pneumonia with a superimposed bacterial infection and admitted as an emergency. The paediatrics head is quoted saying the illness would not have become so severe had the family listened earlier. The AI tool is not named. The case is told in the newspaper's voice, and the feature does not say where its account came from beyond the paediatrics head's quotation; no statement from the family is reported.

Contextual tracker case Medium reported severity Involving minors

AI involvement reported · Causal attribution alleged · 1 source · 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.

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Last dataset update: 04/11/2026. Dataset available under CC BY 4.0.