NOPE · AI and people

AI incidents

Name: AI incidents
Creator: NOPE
License: https://creativecommons.org/licenses/by/4.0/

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

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 1cases 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

1 case 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 HighMedium

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3 of 425 published cases

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Jul 2026ChinaUnidentified AI voice-calling system

Yueqing, China: a fraud ring posing as loan-platform staff used an AI voice-calling system to phone people and pass interested callers to human operators; police say it defrauded more than a thousand people in two months, including a man who lost a 15,500-yuan loan in July 2026, and 30 suspects were detained

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. Thirty suspects were detained on suspicion of fraud, more than 1 million yuan was frozen, and the ring's transactions exceeded 10 million yuan.

Core concern Medium reported severity Investigation Opened

AI involvement reported · Causal attribution alleged · 2 sources, 1 underlying account · Added 01/10/2026

27 Sept 2026IndiaUnidentified video tool

Begusarai, Bihar: a 22-year-old woman says a man who had pursued her made a fake nude video of her with AI months earlier to blackmail her, then on 27 September 2026 he and a relative took her to a hotel room where she was beaten and raped and the videos were circulated; FIR registered, SIT formed, both accused arrested

A 22-year-old woman in Begusarai district, Bihar, told police, her lawyer and Dainik Bhaskar that a man from the village of her maternal relatives, who had pursued her and been refused, made a nude video of her with AI about four to five months earlier and sent it to her in an attempt to blackmail her. On the morning of 27 September 2026, she says, his brother-in-law, her neighbour, gave her a motorcycle lift while she was out collecting self-help-group dues and took her to meet him, and the two men led her into a hotel room 'to talk' about the video. In her account the room was locked, she was threatened with a knife, beaten and raped, the assault was filmed, a noose was put round her neck, and the AI-made video and the assault video were sent to WhatsApp groups, including her self-help group's; she hid in the bathroom until the man left. A video of the beating spread on social media. After she spent 28 September going between police stations, an FIR was registered at Begusarai Nagar police station late that night (case 451/26); the SP formed a special investigation team, seized hotel CCTV and the entry register, and one accused was reported arrested by the evening of 29 September (Prabhat Khabar; NewsTak). Dainik Bhaskar reported on 30 September that the main accused had been arrested while fleeing towards Nepal. The AI element rests on the complainant's account; the police statements read describe the assault video and the arrests without characterising the earlier video.

Core concern High reported severity Criminal Charges

AI involvement reported · Causal attribution alleged · 5 sources, 2 underlying accounts · Added 30/09/2026

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.

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Last dataset update: 01/10/2026. Dataset available under CC BY 4.0.