NOPE · AI and people

AI incidents

Name: AI incidents
Creator: NOPE
License: https://creativecommons.org/licenses/by/4.0/

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: 1
Countries with reported events: 1; Located 1 of 1 cases · 0 unknown
Languages in checked sources: 1; Recorded for 1 of 1 cases

0Core concern
AI communicated, acted for, depicted or impersonated 1Contextual 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

1 case 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.

Search cases Consequence Event country

More filters: AI relation, use, setting, sources and responses

AI-to-person relation Setting Whose AI use Source type inspected AI system Reported severity Response / population Legacy evidence assessment

Event year Sort by Clear filters

1 of 936 published cases

Export JSON Export CSV

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

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: 26/10/2026. Dataset available under CC BY 4.0.