Skip to main content

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
4
Countries with reported events
3
Located 4 of 4 cases · 0 unknown
Languages in checked sources
2
Recorded for 4 of 4 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 MediumLow
More filters: AI relation, use, setting, sources and responses
Clear filters

4 of 868 published cases

3 Oct 2026 to 4 Oct 2026IndiaUnidentified video tool

Delhi Police say a ‘CCTV’ reel of a named ACP molesting a woman journalist at a protest was AI-generated; Haryana man arrested, her allegation unresolved

Delhi Police said at a press conference on 6 October 2026 that a reel circulated on Instagram and Facebook on 3–4 October, presented as CCTV footage, showed a person dressed as a police officer behaving inappropriately with a woman, with the photograph, name and designation of ACP Vivek Bhagat (Connaught Place) displayed so that it appeared to show him. According to the police, the man who ran the page used AI tools to generate the footage, a police technical test confirmed the clip was AI-generated, and he confessed to making it to malign the force; they also said its circulation caused agitation among protesters. A man from Palwal, Haryana, who runs an Instagram news page was arrested in the Mewat region on 5 October and booked for forgery, public mischief and attempting to provoke a breach of the peace. Separately, a woman journalist covering the 3 October protest against the Chief Election Commissioner had complained that the same officer groped and shoved her; ThePrint reported that no FIR had been filed against the officer and that no proof other than the purported footage had emerged; India Today reported that the Crime Branch was examining complaints by three women journalists. All statements about the video’s origin are the police’s; no independent forensic examination is reported.

Core concern Medium reported severity Criminal Charges

AI involvement reported · Causal attribution disputed · 3 sources, 1 underlying account · Added 08/10/2026

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

6 Aug 2026United KingdomFacewatch facial recognition

London shopper says staff told him Sainsbury's facial recognition flagged him as a shoplifter and he was escorted out; retailer blames human error

On 6 August 2026 Matt Arnold, a comedy promoter, was refused service at a self-service till in Sainsbury's East Dulwich store and escorted out by two managers, who cited an incident earlier in the week. He says a staff member told him he had been identified by the AI and that he saw a CCTV monitor alert with a red circle around his face as he left. Sainsbury's apologised the next day, said the cause was human error rather than the facial recognition technology, and paused its Facewatch system at the store while it investigates. Facewatch says a correct alert was sent and mishandled in store; the BBC reports Sainsbury's claim that staff targeted the wrong person after a separate flag. Whose face the system matched is unresolved.

Contextual tracker case Low reported severity Internal Action

AI involvement disputed · Causal attribution disputed · 2 sources · Added 16/09/2026

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: 23/10/2026. Dataset available under CC BY 4.0.