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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
2
Countries with reported events
1
Located 1 of 2 cases · 1 unknown
Languages in checked sources
2
Recorded for 2 of 2 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 Low
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2 of 540 published cases

Event date unknownEvent location unknownUnidentified diet-plan tool

Dietitian says a patient who followed an AI-generated 1400 kcal meal plan for three months lost muscle and developed chronic constipation, Gazeta.pl reports

Gazeta.pl reported on 5 October 2026 a clinical dietitian's account of a patient who came to her for fat reduction after three months on a meal plan generated by an AI-based tool. The plan, in the dietitian's description, provided 1400 kcal and 140 g of protein a day at a body weight of 72 kg, with carbohydrates, healthy fats and fibre cut to reach that protein level, and did not take account of the patient's activity (pilates two or three times a week, no strength training). After three months the patient had lost 3.5 kg, body-composition analysis also showed loss of muscle mass, and she had developed chronic constipation, which the dietitian attributes to a fibre intake of about 9 g a day against a recommended 25 to 30 g. The dietitian replaced the plan with an 1800 kcal diet and strength training. The tool is not named and the event date and place are not stated.

Core concern Low reported severity

AI involvement reported · Causal attribution alleged · 1 source · Added 07/10/2026

2 Jun 2026PortugalGemini (reported)

Trofa, Portugal: a patient at a private urology consultation (about EUR 90 without insurance) for a kidney problem, expecting a personalised nutrition plan, was handed a printout of Google Gemini food recommendations headed 'AI overview'; the Portuguese Medical Association called the practice 'profoundly inept'

According to Correio da Manhã, during a urology consultation at the Trofa Saúde Hospital da Trofa on 2 June 2026, a patient being followed for a kidney problem expected a personalised nutrition plan but received a printed sheet of food recommendations headed 'vista geral de IA' ('AI overview'), generated by Google's Gemini. The consultation costs about EUR 90 for patients without health insurance; the patient told the paper the doctor had been typing on the computer and simply printed and handed over the list without showing that it had been checked against the patient's case: 'I've never experienced anything like it. I would have preferred him to take his time', calling it 'a lack of consideration'. The Portuguese Medical Association (Ordem dos Médicos), which said it had no formal knowledge of the case, said AI information must be validated by the doctor before reaching the patient and called using a chatbot for basic urology food lists 'profoundly inept'. Trofa Saúde did not respond to the paper over three weeks.

Core concern Low reported severity Media Coverage

AI involvement reported · Causal attribution alleged · 3 sources, 1 underlying account · 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: 07/10/2026. Dataset available under CC BY 4.0.