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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
2
Countries with reported events
1
Located 1 of 2 cases · 1 unknown
Languages in checked sources
1
Recorded for 2 of 2 cases
2Core 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.

1cases 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

0 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.

1 20241 2026
Reported severity MediumLow
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2 of 1029 published cases

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2024Event location unknownNotebookLM

Former NPR host alleges Google's NotebookLM AI podcast voice imitates his own; California judge lets his publicity claims proceed

Former NPR Morning Edition co-host David Greene alleges that the default male AI host voice in Google's NotebookLM Audio Overviews, a feature introduced in September 2024 that turns uploaded documents into podcast-style conversations, imitates his voice and speaking habits and was used to market the product without his permission. He told NPR that in fall 2024 friends and colleagues messaged him that it sounded like him, and that listening to it felt creepy. He sued Google in Santa Clara County Superior Court on 23 January 2026; the complaint cites listeners and a forensic voice-recognition firm. Google calls the allegation baseless and says it hired a professional actor and built the voice around him. In October 2026 Judge Shella Deen overruled Google's demurrer to all four causes of action, while stating that whether the voice was made from Greene's recordings or from another source that resembles him is a factual question still to be decided.

Core concern Low reported severity Lawsuit Ongoing

AI involvement reported · Causal attribution alleged · 4 sources, 2 underlying accounts · Added 30/10/2026

5 Feb 2026 to 9 Oct 2026United StatesvLex, Paxton AI and NotebookLM (reported)

New York federal court enters default judgment against a defendant and orders its lawyer to pay $38,877 after false citations it found AI produced

In a federal trademark suit in the U.S. District Court for the Southern District of New York, the court on 5 February 2026 struck a company defendant's motion papers and entered default judgment against it as a sanction on its lawyer, after his filings repeatedly cited nonexistent cases and misattributed quotations. The lawyer said he had found and cite-checked cases with AI tools (vLex and Paxton AI) and used NotebookLM to review a later submission; the court rejected his explanations and found he acted in bad faith. On 9 October 2026 the court described the citations as produced by generative AI and ordered the lawyer to pay $38,877.59 in fees and costs to the firm of a co-defendant's former lawyer, who had reported the false citations to the court.

Core + contextual relations Medium reported severity

AI involvement supported · Causal attribution established · 2 sources, 1 underlying account · Added 16/10/2026

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: 30/10/2026. Dataset available under CC BY 4.0.