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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.

No known event years in this selection.

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1 of 404 published cases

Event date unknownIndiaUnidentified voice-cloning tool

Indore police report Rs 1.83 lakh loss after a voice impersonation of a relative

Indore police told The Times of India that a local resident transferred Rs 1.83 lakh after callers used a purported AI-generated voice to impersonate his brother-in-law abroad. The callers claimed an expired visa would lead to imprisonment or job loss unless fees were paid. The victim discovered the fraud after speaking to the real relative the next day. Police said they coordinated account freezes and were working on recovery. The first call date and recovery outcome are unknown.

Core concern Medium reported severity

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 People are counted within individual cases where sources support a number; we do not publish a collection-wide total of distinct people.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