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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 2 of 2 cases · 0 unknown
Languages in checked sources
1
Recorded for 2 of 2 cases

7 cases have no reviewed AI-to-person relation yet: 1 not yet reviewed and 6 reviewed as unknown. Show these 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 MediumLow
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2 of 868 published cases

15 Jul 2026United StatesUnidentified AI drafting tool

Arizona appeals court strikes a self-represented appellant's AI-hallucinated citations, rejects his probate appeal and orders him to pay fees as a sanction

In a published opinion of July 2026, the Arizona Court of Appeals found that a self-represented appellant's opening brief in a probate dispute contained eight citations, six of them deficient, including two cases that do not exist. In a written explanation and at a hearing on the false citations he acknowledged relying on generative AI to write the brief and said he did nothing to verify the citations. The court struck the inaccurate and false citations, rejected the appeal because no supportive authority remained, held that citing a hallucinated case is sanctionable whether or not it is intended, and ordered him to pay the share of the other party's attorney's fees traceable to the fake citations. Because he said he did not intend to deceive and is not legally trained, the court chose this narrow sanction over contempt or fines. It described the opinion as the first published Arizona ruling on generative AI hallucinations in filings.

Core + contextual relations Low reported severity Regulatory Action

AI involvement supported · Causal attribution established · 1 source · Added 18/10/2026

3 Jun 2026United StatesUnidentified AI tool

Ninth Circuit fines and suspends two immigration lawyers over briefs with AI-hallucinated citations and denials of AI use; immigration board follows

On 3 June 2026 the US Court of Appeals for the Ninth Circuit fined immigration attorneys Mike Singh Sethi and William Rounds $2,500 each and suspended both from practice before the court for six months. Briefs filed in an asylum petition for review cited two cases that do not exist and attributed quotations to opinions that do not contain them. In a motion to correct, the attorneys called the errors typographical, and at oral argument Rounds twice said AI was not used. In their response to the court's order to show cause, they conceded that the errors were probably the product of unauthorised AI use by the firm's unlicensed brief writers and a failure to check citations. The court said the suspension was owed to their repeated failure of candour. The Board of Immigration Appeals then suspended Sethi from practice before the Board, the immigration courts and the Department of Homeland Security for six months, effective 13 June 2026, and designated that decision as a precedent on 1 October 2026.

Contextual tracker case Medium reported severity Regulatory Action

AI involvement supported · Causal attribution established · 2 sources · Added 14/10/2026

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: 23/10/2026. Dataset available under CC BY 4.0.