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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
2
Countries with reported events
1
Located 2 of 2 cases · 0 unknown
Languages in checked sources
1
Recorded for 2 of 2 cases
6Core concern
AI communicated, acted for, depicted or impersonated 2Contextual cases
AI made a decision or claim about someone

2 cases have no reviewed AI-to-person relation yet: 2 not yet reviewed and 0 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.

0cases with a recorded lawsuit outcome 0cases with a recorded regulatory response 1cases 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.

2 2025
Reported severity Medium
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2 of 404 published cases

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12 Sept 2025United StatesGaggle school monitoring

Deltona, Florida: Gaggle school-laptop alert leads to felony arrest of a 15-year-old over a typed gun threat the student said was not serious

According to a Volusia County Sheriff's Office account carried by local outlets, a 15-year-old high school student in Deltona, Florida was arrested on 12 September 2025 after typing a written threat to bring a gun to school on a school-issued laptop. The Gaggle student-monitoring software raised an alert that notified the school resource deputy, who detained the student before the student boarded the bus home. The student was arrested on a second-degree felony charge (one outlet says the charge was still to be filed). The student reportedly admitted typing the text, said it was not meant seriously and said the motive was anger about being picked on. Outcome of the charge and the exact Gaggle role in generating this alert are not reported.

Contextual tracker case Medium reported severity Involving minors

AI involvement reported · Causal attribution alleged · 3 sources, 2 underlying accounts · Added 29/09/2026

29 Jan 2025United StatesSnapchat content-flagging system

Washington, Illinois: Snapchat flagged a student teacher's private joke to the FBI; she was arrested at her school and lost her placement

On 29 January 2025, a 22-year-old student teacher at a District 50 elementary school in Washington, Illinois, vented in a private Snapchat group chat with her boyfriend and two roommates after a third-grade student turned off her computer mid lesson-plan, asking whether she should 'shoot the child or just the whole school' (per sheriff's reports). Snapchat's systems flagged the message and warned the FBI, which notified the Tazewell County Sheriff's Office at 1:06 p.m. Deputies interviewed her at the school, confirmed she sent it as a joke, searched her phone and belongings with her consent and found no weapons, and arrested her on a disorderly conduct charge; they concluded she had spoken out of 'exasperation' with no intent to harm and no threat to the school. The district told parents she would not return to complete her educational assignment.

Contextual tracker case Medium reported severity Criminal Charges

AI involvement supported · Causal attribution supported · 4 sources, 3 underlying accounts · Added 15/09/2026

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.