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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 also records consequential decisions, claims and privacy harms involving AI. Each case needs a described connection between AI use and the harm, including private information recorded into or disclosed to an AI service. 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
1
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 HighMedium
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2 of 1101 published cases

1 Jul 2025 to 18 Jul 2025IndiaUnidentified video tool

Mumbai police say ad agency staff let fraudsters run deepfake videos of a stock market analyst as investment ads; four arrested

Mumbai's West Region cyber police arrested four employees of Valueleaf, a Bengaluru-based digital advertising company, in October 2025, saying they had given Chinese fraudsters access to the company's Meta advertising IDs, which were used to run Facebook and Instagram ads with deepfake videos of stock market analysts and business news anchors. The case began with a complaint from a SEBI-registered research analyst who appears on television and found deepfake videos of himself in the ads; according to the complaint, the videos were created from his appearances on business news channels. Police say viewers who clicked were added to WhatsApp groups offering share tips, invested through fake trading apps, were shown large profits and could not withdraw their money; the deputy commissioner said several people were cheated and several cases registered. A police official said Meta had flagged the videos as deepfakes. Lokmat Times reports that the videos circulated from 1 to 18 July 2025 before Meta removed them. Police say the company received about Rs 3 crore. The four were booked for offences including cheating by personation and forgery and remanded in police custody; they reportedly said they did not know their services were being used for fraud. The analyst is not named in the sources, and how the videos were made is not described.

Core concern Medium reported severity Criminal Charges

AI involvement reported · Causal attribution alleged · 5 sources, 1 underlying account · Added 31/10/2026

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: 11/11/2026. Dataset available under CC BY 4.0.