Skip to main content
NOPE

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
3
Located 3 of 3 cases · 0 unknown
Languages in checked sources
3
Recorded for 3 of 3 cases
2Core concern
AI communicated, acted for, depicted or impersonated 1Contextual cases
AI made a decision or claim about someone

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 2cases with a recorded regulatory response 0cases involving minors

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

When events happened

3 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
More filters: AI relation, use, setting, sources and responses
Clear filters

3 of 1101 published cases

Export JSONExport CSV
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

Jul 2026ChinaUnidentified AI voice-calling system

Chinese police report over 1,000 fraud victims in a scheme using automated AI calls

According to police in Yueqing, Zhejiang, as reported by CCTV's Fazhi Zaixian programme on 29 September 2026, a man in Yueqing who wanted to borrow money for his child's summer tuition in July 2026 received a call from a supposed loan-platform agent who knew his borrowing history. Guided by the agent, he took out a 15,500-yuan loan on a legitimate platform and then transferred 5,500 yuan as a supposed 'funder's advance' and 10,000 yuan for supposed repayment, losing the whole amount. His report led police to a call centre in an office building in Changsha, Hunan. Police say the ring paid for accounts on an AI platform, loaded illegally obtained phone numbers, and let an AI voice system call people automatically with recorded scripts that responded to keywords, sorting them into six categories and transferring interested people to human operators; another victim said he had not realised the voice was a robot until police told him. Police say the ring defrauded more than a thousand people in two months, with victims including recent graduates and middle-aged and older people. CCTV reported 30 suspects detained on suspicion of fraud, more than 1 million yuan frozen and transactions above 10 million yuan. On 12 October 2026 Wenzhou News, reporting the same Yueqing police case, gave a cumulative total of more than 90 people detained, with the same frozen-funds and transaction figures.

Core concern Medium reported severity Investigation Opened

AI involvement reported · Causal attribution alleged · 3 sources, 1 underlying account · Added 01/10/2026

8 Jan 2026United KingdomUnidentified facial recognition system

Southampton: Alvi Choudhury arrested at home on suspicion of a Milton Keynes burglary after a police retrospective facial recognition match, held nearly 10 hours, claiming damages

The Guardian, in a joint report with Liberty Investigates, reported on 25 February 2026 that Alvi Choudhury, a 26-year-old software engineer, was arrested at his home in Southampton in January 2026 on suspicion of a £3,000 burglary in Milton Keynes, about 100 miles away, and held in custody for nearly 10 hours. Thames Valley Police had used automated retrospective facial recognition software, which matched him with CCTV footage of the burglary suspect. Choudhury says the man in the footage looked about 10 years younger and had different features. Thames Valley Police wrote to him that the arrest may have been the result of bias within facial recognition technology, and told the Guardian that the decision rested on the investigating officers’ own visual assessment and was not influenced by racial profiling. Choudhury is claiming damages from Thames Valley Police and Hampshire Constabulary.

Contextual tracker case Medium reported severity

AI involvement supported · Causal attribution disputed · 4 sources, 3 underlying accounts · Added 29/09/2026

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.

Methodology and corrections · Subscribe via RSS · Suggest a case or correction · Find support

Last dataset update: 11/11/2026. Dataset available under CC BY 4.0.