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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 unknownHong Kong SAR ChinaUnidentified video tool

Hong Kong police report deepfake romance-investment fraud targeting people across Asia

Hong Kong police described a syndicate that used deepfake romantic personas to induce investments by people in Taiwan, Singapore and Malaysia. SCMP reported alleged criminal proceeds exceeding HK$34 million and a January 2025 operation arresting thirty-one suspects. An official police budget reply separately identifies that January operation and the amount involved. The first scam date, number of affected people and individual loss allocations are unknown. A different October 2024 operation involving twenty-seven arrests is kept separate.

Core concern Medium reported severity

AI involvement reported · Causal attribution alleged · 3 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 People are counted within individual cases where sources support a number; we do not publish a collection-wide total of distinct people.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.