Skip to main content

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
1
Countries with reported events
—
Located 0 of 1 cases · 1 unknown
Languages in checked sources
1
Recorded for 1 of 1 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 Medium
More filters: AI relation, use, setting, sources and responses
Clear filters

1 of 571 published cases

22 Jan 2025 to 24 Feb 2025Event location unknownMX2.law

Three lawyers sanctioned after filing AI-generated fictitious citations

A Wyoming federal court fined three lawyers a total of $5,000 and removed the drafting lawyer from Wadsworth v. Walmart after a January 2025 filing cited eight nonexistent cases. The order identifies MX2.law as the drafting tool, records failure to verify its output and credits subsequent remedial steps.

Core concern Medium reported severity

AI involvement supported · Causal attribution supported · 1 source · 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 People are counted within individual cases where sources support a number; we do not publish a collection-wide total of distinct people.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.

Methodology and corrections · Subscribe via RSS · Suggest a case or correction · Find support

Last dataset update: 09/10/2026. Dataset available under CC BY 4.0.