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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
10
Countries with reported events
4
Located 5 of 10 cases · 5 unknown
Languages in checked sources
3
Recorded for 10 of 10 cases

5 cases have no reviewed AI-to-person relation yet: 0 not yet reviewed and 5 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.

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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10 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

Oct 2026Event location unknownUnidentified AI medical scribe

First-person post: patient says the AI summary of a doctor's appointment listed, among current medications, a drug the patient has never taken

In a Bluesky post on 14 October 2026, a patient says their doctor asked whether they minded his use of AI to summarise the appointment the day before. The patient says they explained their objections and then consented because they wanted to see the summary it generated. When the summary was posted in the patient portal, it listed among the patient's current medications a drug the patient says they do not take and have never taken. In a reply shortly afterwards the patient said the drug had not made its way to the official medication list but was listed in the clinical notes, and that they had messaged the doctor. In an update the next day the patient wrote that they and the doctor agree the medication was likely inserted because the AI took something else the doctor said for the drug's name, and that the doctor tells them the record has been corrected. The AI product, the medication and the summary are not public, and the doctor's own account is known only through the patient.

Contextual tracker case Low reported severity

AI involvement reported · Causal attribution alleged · 4 sources, 1 underlying account · Added 15/10/2026

Aug 2026Event location unknownUnidentified OpenAI generative AI service (reported)

An insurer says a health-guidance contractor's employee entered data on 19,996 people, including disease information, into an unauthorised generative AI service

Notices from RIZAP's client insurers say that on 20 August 2026 it emerged that a staff member of RIZAP, the company they contract for specific health guidance, had entered data containing members' personal information into an external generative AI service that RIZAP had not permitted for work. The National Civil Engineering and Construction National Health Insurance Association (Doken Kokuho) puts the whole data set at 19,996 people, 1,167 of them its own members, and says the service was not under a corporate contract and that the matter was found when the employee noticed the transmission and reported it. A local-government employees' mutual aid association counts 726 of its members across 14 branches, and the IHI group health insurance society 210, according to a security news site that reads these as subsets of the 19,996. The data included membership numbers, email addresses, names, dates of birth, sex, some addresses and phone numbers, the type of health guidance and, for members with them, high blood pressure, diabetes or dyslipidaemia. The IHI society's notice, as relayed, names OpenAI as the provider and says OpenAI answered on 1 September that the data had not been used for model training. RIZAP's release, as described in an ITmedia column, says no third party other than the service operator could have viewed the data. Doken Kokuho says RIZAP confirmed to it that no third party viewed or used the information through the service; whether the provider's staff could view it was still being checked when the mutual aid association and the IHI society published.

Contextual tracker case Medium reported severity

AI involvement reported · Causal attribution supported · 5 sources, 4 underlying accounts · Added 12/10/2026

29 Apr 2026Event location unknownChatGPT

Texas health plan says an employee uploaded a file of members' personal and prescription data to ChatGPT from a home network, against its policy

Community First Health Plans, a nonprofit health plan in San Antonio, Texas, said in a 29 June 2026 release that on the evening of 29 April 2026 one of its employees uploaded a file containing personal information of some members to ChatGPT from a home computer network, circumventing the plan's firewall safeguards and violating its policy. The plan says it does not use ChatGPT and that its systems detected the violation and alerted its IT department. According to the release, the file may have included members' names, addresses, dates of birth, member identification numbers and prescription drug information. The next morning the plan revoked the employee's access, directed and verified deletion of the data from the employee's ChatGPT account, asked OpenAI to delete any related data, and ended its relationship with the employee. It notified affected members and federal and state agencies, offered 12 months of identity monitoring and says it is not aware of any misuse. The release gives no number of affected members.

Contextual tracker case Medium reported severity

AI involvement reported · Causal attribution supported · 1 source · Added 12/10/2026

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

Oct 2026Event location unknownChatGPT (reported)

Patient reports a nurse was already recording with ChatGPT when they declined AI notes

In a public Reddit account, a patient says a nurse asked whether AI could take notes at a medical appointment. After the patient objected, the nurse picked up a phone that the patient described as showing ChatGPT already recording. The patient describes the recording as occurring without prior notice and says their objection was dismissed. In replies, the author says the phone had Chrome open to ChatGPT, that recording had started when the nurse entered the room, before she asked consent, and that the recording was disabled only after the author insisted. This is an uncorroborated first-person account. It does not establish what was captured, whether anything was sent to a server, retained or used for training, or whether a law was broken. The clinic’s location, account type and response are unknown.

Contextual tracker case Low reported severity

AI involvement reported · Causal attribution alleged · 3 sources, 1 underlying account · Added 06/10/2026

19 Mar 2026United States, United KingdomPangram AI-text detector

US and UK: Hachette cancels the US edition of the novel Shy Girl and discontinues the UK edition after allegations it was AI-generated, with the author denying personal use of AI

On 19 March 2026 Hachette Book Group said it had cancelled the US publication of the horror novel Shy Girl by Mia Ballard (Orbit imprint) and would not continue the UK edition (Wildfire imprint, first released in November 2025). Reports say the decision followed an investigation by Hachette and came a day after the New York Times asked the publisher about online allegations that the text was largely AI-generated. The allegations came from readers on Goodreads, Reddit and YouTube and from AI-detector results, including a 78.4 percent AI-generated score on the Pangram detector that a publishing consultant says two other services confirmed. Ballard denied personally using AI in emails to the New York Times and the Wall Street Journal, and told the New York Times that an acquaintance hired to edit the original self-published version used AI. Ballard wrote that "my name is ruined" and "my mental health is at an all time low", and said legal action was being pursued. Hachette’s public statements cite its commitment to original creative expression. The sources inspected do not report what its investigation found. Whether AI generated any of the text, and who used it, is unresolved.

Contextual tracker case Medium reported severity

AI involvement disputed · Causal attribution disputed · 9 sources, 4 underlying accounts · Added 29/09/2026

20 May 2026United StatesMeta internal AI systems (reported)

US: 26 Meta employees sue alleging an AI-assisted May 2026 layoff selection penalized workers on protected leave, Meta says people made the decisions

On 20 May 2026 Meta began notifying about 8,000 employees (roughly 10 percent of its workforce) that they had been selected for layoff. On 13 July 2026 twenty-six anonymous employees who had taken or requested medical, pregnancy, parental or family leave, or a disability accommodation, sued Meta in the US District Court for the Northern District of California. The complaint alleges, on information and belief, that Meta used internal AI-assisted systems (including the Metamate assistant, keystroke and activity monitoring, AI-token-usage dashboards and algorithmic performance ranking) to score, rank and select employees, and that these inputs could not accumulate during protected leave, so plaintiffs on leave were disproportionately selected. Meta says workforce decisions were made by people, not AI, and that no selection decision was made by AI. On 17 July 2026 the court denied a temporary restraining order, recording that the parties dispute whether Meta used AI in the terminations and finding serious questions on the merits but no shown likelihood of success. One plaintiff was voluntarily dismissed on 3 August 2026. The preliminary injunction motion was argued on 24 August 2026 and taken under submission. The plaintiffs are pursuing their merits claims in arbitration and the allegations are unproven.

Contextual tracker case Medium reported severity

AI involvement disputed · Causal attribution disputed · 10 sources, 5 underlying accounts · Added 29/09/2026

Mar 2026Event location unknownUnidentified AI medical scribe

Reported by ABC News (Australia): an AI scribe used at a urology appointment inserted a false claim that the patient took psychedelic mushrooms into her record; the error reached her GP in a post-operative letter and was corrected only after she complained

A patient who consented to having her first urology appointment transcribed by an artificial-intelligence scribe discovered, after her kidney-stone surgery in March 2026, that the post-operative letter her specialist sent to her GP stated she micro-dosed psychedelic mushrooms and that this could explain earlier bleeding around the kidneys. She says she has never taken mushrooms. She was receiving workers' compensation and feared that any mention of illegal drugs on her medical record could affect her case. After she complained, the urologist sent a letter of apology saying the practice takes documentation accuracy seriously, that she could not determine how the claim came to be included but that it appeared to be an error during the 'dictation or transcription process', that the correspondence had been corrected and that she would review how AI was used in her practice. The doctor did not answer ABC's questions about what changes had been made. Australia's practitioner regulator AHPRA told ABC that clinicians must check all AI-scribe output; the patient says it was clear her doctor had not. The account is a single ABC News report (14 August 2026) based on the patient's interview and the letters she received; the scribe product and the clinic's location are not named.

Contextual tracker case Low reported severity Internal Action

AI involvement reported · Causal attribution alleged · 1 source · Added 20/09/2026

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.