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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
2
Countries with reported events
1
Located 2 of 2 cases · 0 unknown
Languages in checked sources
2
Recorded for 2 of 2 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
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2 of 404 published cases

9 Sept 2026IndiaUnidentified video tool

Bengaluru: a security guard says a WhatsApp video call in which an alleged deepfake 'Chief Minister Vijay' offered him financial aid led to fake 'processing' charges and a fake CBI fine, and he lost more than Rs 1.04 lakh; Byappanahalli police register an IT Act case (September 2026)

A security guard in Bengaluru, originally from Odisha, told the Times of India that on 9 September 2026 he answered a WhatsApp video call in which a face and voice presented as Tamil Nadu Chief Minister C. Joseph Vijay introduced himself in Hindi, asked his name, work and where he lived and pressed him to accept financial help. A 'manager' then promised Rs 11 lakh, said Rs 5 lakh had been allotted to him and asked for a Rs 5,000 exchange charge, then Rs 18,000 to unlock a supposedly locked PIN; a caller posing as a CBI officer demanded more than Rs 50,000 as a fine. The fraudsters sent a fake allotment letter and a purported CBI officer's identity proof. He paid more than Rs 1.04 lakh through a digital payment app before refusing a further Rs 50,000 demand, called the 1930 cybercrime helpline and went to Byappanahalli police, who registered a case under the Information Technology Act. The Times of India says the fraudster allegedly used a deepfake AI-generated video and calls it the first such case reported in the city. No arrest is reported, and no link to the Tamil Nadu CB-CID deepfake case or its Alwar arrest has been established.

Core concern Medium reported severity Investigation Opened

AI involvement reported · Causal attribution alleged · 2 sources, 1 underlying account · Added 28/09/2026

Event date unknownIndiaUnidentified video tool

Bhubaneswar (Odisha): the Biju Janata Dal files a police complaint and holds a sit-in at Capital police station alleging that a social-media account is circulating obscene AI deepfake videos of three of its women leaders (26 September 2026)

On 26 September 2026 the Biju Janata Dal (BJD) staged a dharna at Capital police station in Bhubaneswar and lodged a complaint alleging that an account named 'Bana Bichhuati' was circulating obscene and objectionable AI-generated deepfake videos of three of the party's women leaders on social media to malign them (Kalinga TV; KNews Odisha). The party asked police to register a case, obtain the account's IP address and device details from Meta, identify and arrest those responsible, and have the videos removed. The reports relay the party's allegations; Kalinga TV notes that the identity of whoever runs the account has not been independently established, and no police response is reported.

Core concern Medium reported severity Media Coverage

AI involvement reported · Causal attribution alleged · 2 sources, 1 underlying account · Added 27/09/2026

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.