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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 is wider: it also records consequential decisions and claims about people. 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
1
Located 1 of 1 cases · 0 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.

Reported severity High
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1 of 174 published cases

12 Jun 2026RussiaChatGPT (OpenAI)

Russia: a crypto investor lost about $2.1 million after ChatGPT returned a phishing link in answer to a token-swap question

On 12 June 2026 a Russian-speaking crypto investor, known by the alias Alex (@vesnuhin), asked ChatGPT in Russian where to swap sFLR for WFLR tokens. ChatGPT's reply included a link to sceptre.network, a phishing clone of the legitimate sceptre.fi. He connected his wallet and signed an unlimited-approval transaction; within seconds about 1.9 million FXRP, worth roughly $2.1 million (about 180 million rubles), were drained. A blockchain analyst traced the theft, and reported that the phishing link appeared only in Russian-language answers. Russia's Interior Ministry (MVD) later confirmed the loss.

Core concern News report AI involvement: supported Causal attribution: supported High reported severity Investigation Opened

Added 17/09/2026

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 People are counted within individual cases where sources support a number; we do not publish a collection-wide total of distinct people.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: 22/09/2026. Dataset available under CC BY 4.0.