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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

Explore incidents Our scope and evidence

In this selection

Published cases
3
Countries with reported events
1
Located 3 of 3 cases · 0 unknown
Languages in checked sources
3
Recorded for 3 of 3 cases
1Core concern
AI communicated, acted for, depicted or impersonated 1Contextual cases
AI made a decision or claim about someone

1 case has no reviewed AI-to-person relation yet: 0 not yet reviewed and 1 reviewed as unknown. Show these 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.

0cases with a recorded lawsuit outcome 3cases with a recorded regulatory response 1cases involving minors

Response counts currently use each case’s principal recorded outcome. Further proceedings may be described in its account.

When events happened

0 cases without a known event year

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.

3 2026
Reported severity Medium
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3 of 741 published cases

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May 2026IndiaUnidentified image and video tool

Bengaluru: actor Rukmini Vasanth says AI-generated photos passed off as hers are fake and files a complaint after AI-morphed photos and videos of her went viral in May 2026; police arrest three people, reported on 19 and 20 June 2026

According to ETV Bharat Kannada (20 June 2026) and Oneindia Kannada (19 June 2026), Bengaluru police arrested three people accused of using AI technology to morph photographs of the actor Rukmini Vasanth and of circulating AI-made photos and videos depicting her on social media. ETV Bharat reports that the material went viral on social media platforms and in some media in May, that it harmed her dignity and privacy and caused her mental harassment, and that she filed a complaint. In a statement on her social media accounts, quoted by ETV Bharat, she said the AI-generated photos circulating as hers were completely fake and that making and spreading manipulated content was a serious violation of privacy. Police seized three mobile phones and the accused were remanded to judicial custody. Oneindia reports that her face had been obscenely altered with AI technology in a video released on the internet. The reports do not name the tool used.

Core concern Medium reported severity Investigation Opened

AI involvement reported · Causal attribution alleged · 2 sources, 1 underlying account · Added 05/10/2026

28 Sept 2026IndiaUnidentified image and video tool

India: police in Ujjain said AI-made videos falsely showing the whole Shahi Masjid being demolished helped draw a crowd that clashed with police on 28 September 2026; 15 people were taken into custody and influencers were booked

On 28 September 2026, as part of Ujjain's Shahi Masjid was being removed for a road-widening project, a crowd clashed with police; stones were allegedly thrown at security personnel and police used tear gas and a lathi charge. Ujjain Superintendent of Police Pradeep Sharma said videos made with AI, showing the entire mosque being demolished, and other provocative posts on social media had helped gather the crowd. Police said 15 people were taken into custody and reports put the total at eight FIRs at three police stations; social media influencers were booked for spreading the videos, and police said more than 100 pieces of content were taken down. Reports conflict on injuries: one outlet reported police saying six policemen were hurt, another reported the SP saying no one was injured.

AI relation unknown Medium reported severity Investigation Opened

AI involvement reported · Causal attribution alleged · 8 sources, 6 underlying accounts · Added 04/10/2026

24 Jul 2026 to 26 Jul 2026IndiaUnidentified facial recognition system

Delhi: the police facial-recognition system logged at least 25 people who were in Tihar, Mandoli or Rohini jails as present at the Jantar Mantar student protests (20 to 26 July 2026), with timestamps on 24 to 26 July, on a sworn list of 2,873 persons with 'criminal antecedents' that the Supreme Court allowed police to register a fresh FIR against (Indian Express investigation, 4 September 2026)

In an affidavit of 17 August 2026 before the Supreme Court of India, Delhi Police said its Facial Recognition System (FRS) had identified 2,873 people with criminal antecedents at the Jantar Mantar protests of 20 to 26 July 2026 (2,402 through its 'Crime Kundli' biometric database and 471 through other criminal records). On 1 September the Court quashed the FIRs against the student protesters but let the police proceed against the 2,873; the police say any action will follow field verification. The Indian Express checked the 205 listed people facing murder, attempted-murder, rape or child-sexual-offence charges against police, prison and court records and found that at least 25 of them (17 accused of murder, four of rape (two or three under POCSO; the Express's narrative and its list differ), four of attempted murder) were lodged in Delhi's Tihar, Mandoli or Rohini prisons when the system logged them at the protest site with timestamps on 24, 25 and 26 July; some had been in custody for years. Delhi Police told the newspaper that further verification of the 2,873 was pending and, in its affidavit, that no action is taken solely on a facial-recognition result and that field verification follows each match. The police disclosed in 2022, in reply to a Right to Information request, that it treats a match with an 80 per cent similarity score as positive. Whether any of the 25 has since been named in the fresh FIR or visited for verification is not reported.

Contextual tracker case Medium reported severity Investigation Opened

AI involvement reported · Causal attribution supported · 4 sources, 2 underlying accounts · Added 24/09/2026

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: 18/10/2026. Dataset available under CC BY 4.0.