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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 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
2
Located 3 of 3 cases · 0 unknown
Languages in checked sources
1
Recorded for 3 of 3 cases
3Core concern
AI communicated, acted for, depicted or impersonated 0Contextual 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 0cases with a recorded regulatory response 2cases 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.

No known event years in this selection.

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3 of 404 published cases

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Event date unknownUnited StatesUnidentified image tool

Iowa students report distress and lack of support after AI sexual images

KCRG reported that Cascade High School students said classmates used AI apps to create sexual images of them. At a district meeting, students described humiliation, fear of being judged and feeling silenced. One said no one at school had offered her counselling. The superintendent said counselling was available and promised policy work. The sheriff said several female students were targets but that the total was unknown. The first image date is not established.

Core concern Medium reported severity Involving minors

AI involvement reported · Causal attribution alleged · 1 source · Added 30/09/2026

Event date unknownUnited KingdomUnidentified chatbot

Lewes Crown Court, England: a rape trial was stayed part-way through and the jury discharged after documents on the complainant's phone, which the complainant said came from putting material into AI to prepare for court, were treated as witness coaching; the Court of Appeal reversed the stay on 4 June 2026 and ordered a retrial

During a rape trial at Lewes Crown Court, a download of the complainant's phone revealed two documents containing a summary of the complainant's recollection of the night in question and 24 questions in the form of a cross-examination, with suggested answers. Asked about them, the complainant said: 'I had put stuff into AI to help me prepare myself for the court'. The trial judge (a Recorder) held that this was witness coaching, found that the defendant could not have a fair trial and stayed the proceedings as an abuse of process; the jury was discharged when the prosecution gave notice of appeal. On 4 June 2026 the Court of Appeal (R v FGD [2026] EWCA Crim 918) reversed the stay, holding that the trial process could deal with any prejudice, and directed a retrial at the earliest opportunity because the allegations were 'now of some age'. The defence did not accept that the documents were AI-generated; the appeal proceeded on that basis. The court warned that witnesses should be firmly discouraged from using AI to prepare their evidence and that, for complainants in sexual-offence cases, doing so may expose their online activity to wider and more intrusive investigation.

Core concern Medium reported severity Media Coverage

AI involvement reported · Causal attribution supported · 3 sources, 1 underlying account · Added 29/09/2026

Event date unknownUnited StatesUnidentified image tool

Gilmer County, Georgia: a vendor who restocked drink machines in local schools used AI applications to turn ordinary photographs of students into child sexual abuse material; prosecutors identified more than 150 underage victims, he was convicted on 118 counts and sentenced on 2 September 2026 to 40 years in prison, and parents of eight students sued Pepsi entities for keeping him on the school route

According to the DeKalb County District Attorney's Office, which prosecuted the case as conflict prosecutor, the investigation began in December 2024 when a Gilmer High School student told a school resource officer that a vendor who refilled drink machines on campus had asked her through a social media app to send him pictures. The Gilmer County Sheriff's Office arrested him in January 2025 and searched his devices, car and home. Prosecutors say he downloaded photographs of minors from social media and used AI applications and bots to alter them so the children appeared nude or engaged in sexual activity, and that the material related to more than 150 underage victims in Georgia and other states, many of them Gilmer County students. A Cobb County senior judge found him guilty on 13 August 2026 of 118 counts of sexual exploitation of children and on 2 September 2026, after 19 victim impact statements, sentenced him to 60 years with 40 to serve in prison. Separately, the parents of eight female students aged 12 to 17 sued him, Pepsi Beverage Co. and Pepsi-Cola Sales and Distribution in a suit reported on 28 February 2025, alleging the companies reinstated him to the same school route after students complained that he was photographing them; USA Herald reported the negligence suit again on 26 September 2026 and said Pepsi had not yet responded publicly. The AI tools are not named and the court and status of the civil suit are not reported.

Core concern High reported severity Involving minors Criminal Charges

AI involvement supported · Causal attribution supported · 8 sources, 5 underlying accounts · Added 27/09/2026

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: 30/09/2026. Dataset available under CC BY 4.0.