Skip to main content
NOPE

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
2
Countries with reported events
—
Located 0 of 2 cases · 2 unknown
Languages in checked sources
1
Recorded for 2 of 2 cases
6Core concern
AI communicated, acted for, depicted or impersonated 2Contextual 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

2 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.

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

2 of 1050 published cases

Export JSONExport CSV
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

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: 31/10/2026. Dataset available under CC BY 4.0.