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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
5
Countries with reported events
4
Located 4 of 5 cases · 1 unknown
Languages in checked sources
3
Recorded for 5 of 5 cases

4 cases have no reviewed AI-to-person relation yet: 3 not yet reviewed and 1 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.

Reported severity MediumLow
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5 of 868 published cases

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

2026United KingdomFacewatch facial recognition

Chester: shopper told to leave a Home Bargains store as a shoplifter after being flagged on the Facewatch system, which Facewatch later said should not have held a record for the shopper

A 67-year-old shopper told the BBC and the Guardian that staff at a Home Bargains store in Chester told the shopper to leave in front of other people because the shopper had come up on the store's Facewatch system as a shoplifter. Facewatch later sent the shopper a photo with words saying items had been put into a bag and stolen. Facewatch said the shopper should not have been on its system and that the image and associated record were permanently removed. The Guardian reports that a subject access request showed the shopper had been incorrectly associated with a shoplifting incident on an earlier visit, and that Facewatch's chief executive attributed the three cases in the article, which include this shopper's, to human error in store processes. Home Bargains declined to comment. The shopper reports feeling physically sick and helpless. The Guardian reports that Home Bargains later offered an apology and a 100 pound voucher on condition of confidentiality, which the shopper declined. The year of the visit is inferred to be 2026 from the BBC report of 22 February 2026.

Contextual tracker case Low reported severity

AI involvement reported · Causal attribution disputed · 3 sources, 1 underlying account · Added 29/09/2026

Mar 2025United StatesJewish Onliner (suspected)

Yale Law School scholar placed on leave and barred from campus after article on an AI-empowered news site linked the scholar to a sanctioned group

In March 2025 Yale placed a Yale Law School scholar, who was deputy director of a Yale Law School project, on administrative leave and barred the scholar from campus. The New York Times reports the decision came three days after a news site described as powered at least in part by artificial intelligence published a story on the scholar's connections to Samidoun, a group on a US sanctions list. Inside Higher Ed and Middle East Eye identify the site as Jewish Onliner. The scholar's lawyer says Yale's general counsel named the article as the trigger of the investigation. The scholar told the Times of not being a member of any organization that would violate US law, and the lawyer says the scholar is not a member of Samidoun. A Yale Law School representative told The National that placing an employee on temporary administrative leave while a review is conducted is the appropriate process and that the scholar's short-term position was due to expire the following month. The site says humans fact-check and that AI tools play a significant role in its work. The inspected sources do not show that AI produced the article.

Contextual tracker case Medium reported severity

AI involvement suspected · Causal attribution alleged · 6 sources, 4 underlying accounts · Added 29/09/2026

8 Oct 2025 to 2 Sept 2026IndiaUnidentified AI tool

India's Supreme Court overturns customs penalty citing apparent AI hallucinations

On 8 October 2025 the Additional Commissioner of Customs in Surat imposed a penalty of ₹425,27,99,100 (about ₹425 crore) on a diamond trader under Section 114 of the Customs Act, 1962, for allegedly misdeclaring a consignment of natural diamonds as lab-grown diamonds to pay a lower tariff. The trader's challenge was dismissed by the Gujarat High Court on 20 January 2026. Before the Supreme Court the trader argued that judgments and articles cited in the penalty order had been generated using artificial intelligence. On 2 September 2026 a bench of Justices Dipankar Datta and Sheel Nagu, after checking the material, found that the order relied on case law that was non-existent or carried fake citations, and on real cases that did not lay down the propositions attributed to them, which the court said 'appears to be a hallucination of AI'. Holding that the use of AI and reliance on this dubious material was fatal to the order, the court set aside both the penalty order and the High Court's order without deciding the merits, sent the matter for fresh adjudication by a different officer of the same rank, and left any action against the order's author to the appointing authority. The AI tool used is not named in the read reports.

Contextual tracker case Medium reported severity Internal Action

AI involvement supported · Causal attribution supported · 4 sources, 1 underlying account · Added 29/09/2026

Event date unknownEvent location unknownGemini note-taking in Google Meet

First-person forum account: an agency employee in England says Gemini note-taking in Google Meet kept transcribing two prospective clients after the agency's boss left the call, and that the boss passed their private post-meeting discussion to staff to shape a follow-up pitch

In a public post to r/LegalAdviceUK on 28 September 2026, an employee of a marketing agency in England writes that their boss pitched a prospective client and the client's business partner on a Google Meet call with Gemini note-taking switched on. After the boss said goodbye and left, the two business partners stayed on the call to discuss the proposal and the other agencies they were considering, and Gemini kept taking notes. The boss then sent the employee the notes and transcript, which named a competing agency and included 'personal details of who they spoke to specifically on the call', and asked for a follow-up deck built on what the partners liked and disliked. The poster believes the partners did not know they were still being transcribed. Google's help page says Meet tells all participants when notes are being taken; whether the partners noticed is not known. The account is uncorroborated.

Contextual tracker case Low reported severity

AI involvement reported · Causal attribution alleged · 4 sources, 2 underlying accounts · 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: 23/10/2026. Dataset available under CC BY 4.0.