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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. NOPE has searched recent events more thoroughly than earlier years, so bar heights also reflect collection effort.

Reported severity High
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1 of 404 published cases

25 Feb 2025 to 23 Apr 2025IndiaUnidentified video tool

Bengaluru woman reportedly lost Rs 3.75 crore after a Sadhguru deepfake investment pitch

Bengaluru police said a retired woman lost about Rs 3.75 crore after encountering a purported AI-generated video of Sadhguru promoting investments. The Indian Express reports that the contact and transfers took place from 25 February to 23 April 2025. According to the reported FIR, the video led to a trading platform and subsequent contact with scammers, who showed apparent profits. The woman realised the problem when withdrawal attempts prompted further payment demands. Police were attempting to freeze accounts, while warning recovery would be difficult.

Core concern High reported severity

AI involvement reported · Causal attribution alleged · 2 sources, 1 underlying account · Added 30/09/2026

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 People are counted within individual cases where sources support a number; we do not publish a collection-wide total of distinct people.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: 30/09/2026. Dataset available under CC BY 4.0.