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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

Explore incidents Our scope and evidence

In this selection

Published cases
4
Countries with reported events
2
Located 2 of 4 cases · 2 unknown
Languages in checked sources
1
Recorded for 4 of 4 cases
55Core concern
AI communicated, acted for, depicted or impersonated 4Contextual cases
AI made a decision or claim about someone

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 0cases involving minors

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

When events happened

4 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.

No known event years in this selection.

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4 of 1099 published cases

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Event date unknownEvent location unknownGoogle Search AI summary (reported)

First-person account: patient says a doctor read Google's AI search summary for a diagnosis and later called to say the patient was right

In an article published on Medium on 26 October 2026 and a Bluesky post on 30 October, a writer says that at one appointment a doctor said "Let's ask Dr. Google", searched for a diagnosis and read the AI summary at the top of the results without opening any sources. The writer says the doctor was wrong; after they emailed him their sources and asked what they were missing, he called to say they were right. They say they were nervous to send the emails, and that their own research used Claude and Gemini, cross-checked against the cited sources. The article does not say what the summary said, what the diagnosis was, or when the appointment took place.

Contextual tracker case Low reported severity

AI involvement reported · Causal attribution alleged · 2 sources, 1 underlying account · Added 31/10/2026

Event date unknownEvent location unknownChatGPT (reported)

California patient says urgent-care discharge papers were printed ChatGPT answers that other doctors told her were unsafe for her condition (first-person)

In a TikTok video posted on 28 October 2026, a woman described as living in California says the discharge paperwork and at-home treatment plan she received after a visit for care consisted of printed ChatGPT responses, which, according to a 30 October report by The Nerd Stash, included what appeared to be earlier chat prompts with labels such as "Aftercare Instruction Request". In a comment she identified the facility, which the report names only as allegedly an urgent-care clinic. She describes herself as medically complex, with a rare genetic disorder. In her caption she writes that, had she followed the instructions blindly, they would likely have led to bowel perforation given her history, citing other doctors she asked. She did not follow them. The clinic's account, the clinician involved and the date of the visit are not known.

Contextual tracker case Low reported severity

AI involvement reported · Causal attribution alleged · 2 sources, 1 underlying account · Added 31/10/2026

Event date unknownUnited KingdomAnima Annie

London: AI-generated GP record summary falsely listed diabetes, and a healthy patient was invited to diabetic eye screening, Fortune reports

Fortune reported on 20 July 2025 that a London patient, a healthy man in his mid-20s, had recently received a letter inviting him to diabetic eye screening although he had never been diagnosed with diabetes. He told Fortune he briefly worried he had been diagnosed without knowing, then assumed an admin error. The next day a nurse at a routine blood test questioned the diagnosis and showed him the notes on the system, which were AI-generated summaries. In his full records, which Fortune reviewed, the entry that introduced the diagnosis was listed as a summary 'generated by Annie AI', the tool of Anima Health. It said he had presented with chest pain and shortness of breath from likely angina due to coronary artery disease, that he had been diagnosed with type 2 diabetes and was on medications with dosages, and it gave the source document's address as a fictitious 'Health Hospital' on '456 Care Road' in 'Health City'. According to the patient and other records Fortune reviewed, none of these details was accurate; the entry appeared around the time he had attended hospital with tonsillitis, which it did not mention. Fortune writes that the invitation was presumably based on the erroneous summary. An NHS representative told Fortune the practice makes limited use of supervised AI, that Anima only suggests codes and a summary to a human reviewer, and that the error was a one-off human error: a summariser had spotted the mistake but, distracted, saved the original version instead of the corrected one. Anima Health did not respond to Fortune.

Contextual tracker case Low reported severity Media Coverage

AI involvement reported · Causal attribution alleged · 1 source · Added 26/10/2026

Event date unknownUnited StatesTimpani

US: HCA nurses tell WIRED its AI scheduling tool overrode their shift requests and scheduled them on requested days off; one delayed a medical appointment

Nurses at HCA Healthcare, the largest US hospital chain, told WIRED, in an article published on 2 October 2026, that Timpani, an AI scheduling tool HCA co-developed with Palantir and has rolled out at about 130 of its 190 locations, assigns shifts that ignore their requests. A Florida critical care nurse said that over four months the tool gave her different shifts for more than half of the 50 she requested, often back-to-back days that left her mentally drained. A Missouri nurse said essentially every nurse at their facility had been assigned to work on a requested day off, and that they delayed a long-planned doctor's appointment for a chronic condition after struggling to trade such a day. HCA says nursing leaders, not Timpani, make final scheduling decisions and that the tool schedules nurses on about 1 percent of requested days off.

Contextual tracker case Low reported severity Media Coverage

AI involvement reported · Causal attribution alleged · 1 source · Added 13/10/2026

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.