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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
5
Countries with reported events
3
Located 4 of 5 cases · 1 unknown
Languages in checked sources
3
Recorded for 5 of 5 cases

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.

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.

No known event years in this selection.

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5 of 1101 published cases

Event date unknownEvent location unknownUnidentified AI-text detector

Ombudsman upholds autistic student's complaint over AI-misconduct zero mark from panel with detection-software report; student says provider later cleared them

A case summary published in July 2025 by the Office of the Independent Adjudicator for Higher Education (OIA), the independent student complaints scheme for England and Wales, describes a student with autism who was accused of including large sections of AI-generated content in an essay. The student denied using AI and submitted planning and notes. A disciplinary panel, which had the provider's AI detection software report and compared the essay with other work by the student, found academic misconduct and gave a mark of zero with any reassessment capped at a pass; the provider rejected the appeal, in which the student said the same software had earlier flagged another of their essays in a case where it had been agreed they had not used AI. The OIA found the complaint Justified: the panel had not properly considered the student's evidence, had not shared some evidence it relied on, and had not given sufficient reasons. It recommended reconsideration and changes to the provider's rules, and the student told the OIA that on reconsideration the provider decided there had been no misconduct. The provider and the software are not named.

Contextual tracker case Low reported severity Regulatory Action

AI involvement reported · Causal attribution supported · 2 sources · Added 23/10/2026

Event date unknownUnited KingdomUnidentified chatbot

Derbyshire Police remove a detective from frontline duties and open a criminal investigation over alleged use of AI to create evidential material

Derbyshire Police said in June 2026 that it had launched a criminal investigation into an allegation of perverting the course of justice after the alleged use of AI systems by an officer to create evidential material in a number of cases, and that the officer had been removed from frontline duties; no arrests had been made. The Crown Prosecution Service said it was engaging with defence teams and the courts in appropriate cases. Scottish Legal News, citing sources familiar with the matter, reported that the detective allegedly used an AI chatbot to prepare documents including victim impact statements and case summaries for prosecutors. It also reported that a number of rape convictions were being reviewed. In October 2026 the head of the Independent Office for Police Conduct referred to the case when warning that AI mistakes could lead to a mistrial. The officer is not named, the AI system is not identified, and the allegations have not been tested.

AI relation unknown Medium reported severity Investigation Opened

AI involvement reported · Causal attribution alleged · 4 sources, 3 underlying accounts · Added 14/10/2026

Event date unknownIndiaUnidentified image tool

Greater Noida: a woman and her niece complain to police that an unknown person used AI to turn their photos into obscene images and spread them online

Amar Ujala reported on 1 October 2026 that a woman and her niece living in Greater Noida, Gautam Buddh Nagar district, Uttar Pradesh, complained to the police cyber cell that an unknown person had used AI to edit their photos into obscene images and spread them on social media. The woman told the paper that a family member had posted the photos on social media a few days earlier. The complaint was made on Thursday, the day the report was published, and police said they were examining the links on social media and other digital evidence. No accused is identified. The account rests on the complaint as relayed by one local report.

Core concern Medium reported severity Investigation Opened

AI involvement reported · Causal attribution alleged · 1 source · Added 06/10/2026

Event date unknownEgyptUnidentified image tool

Giza, Egypt: police say a man took photos of young women from social media, altered them with AI apps and ran pages posing as a woman offering paid sexual services, switching off his phone once people had transferred money; arrest in the Munira police district reported on 2 October 2026

According to an Interior Ministry statement relayed by Egypt Telegraph on 2 October and Youm7 on 3 October 2026, investigations by the ministry's General Administration for the Protection of Morals found that a man was running social media pages that defrauded people by making them believe he was a young woman and advertising paid sexual services. Police arrested him in the Munira police district of Giza with four mobile phones that held evidence of the activity. In the ministry's account he admitted taking photos of young women from social media, altering them with AI applications and reposting them on his pages so that followers would believe he was a woman, asking for money and switching off his phone once it was transferred. The reports do not give the number of people deceived, the amounts taken or the number of women whose photos were used.

Core concern Low reported severity Investigation Opened

AI involvement reported · Causal attribution alleged · 2 sources, 1 underlying account · Added 04/10/2026

Event date unknownEgyptUnidentified image tool

Sharqia, Egypt: police say an unemployed man took women's photos from social media, altered them with AI apps and ran pages posing as a woman offering paid sexual services, blocking people once they had sent deposits; arrest in Zagazig announced on 30 September 2026

According to an Interior Ministry statement relayed by Soralive, Shbabbek and Egypt Telegraph on 30 September and 1 October 2026, Egypt's cybercrime and morals police arrested an unemployed man living in the Zagazig Second police district of Sharqia governorate. Investigators say he ran social media pages that presented him as a young woman offering paid sexual services. In the ministry's account he admitted collecting photos of young women posted on social media and altering them with AI apps to make them look alluring, then reposting them on his pages to draw in customers. He asked those who replied to transfer advance payments through mobile wallets as a deposit, then blocked them and switched off his phones once the money arrived. Two phones seized from him held chats and other evidence of the activity, and the public prosecution took over the investigation. The reports do not give the number of people deceived, the amounts taken or the number of women whose photos were used.

Core concern Low reported severity Investigation Opened

AI involvement reported · Causal attribution alleged · 3 sources, 1 underlying account · Added 02/10/2026

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.