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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

In this selection

Published cases
3
Countries with reported events
1
Located 3 of 3 cases · 0 unknown
Languages in checked sources
1
Recorded for 3 of 3 cases

21 cases have no reviewed AI-to-person relation yet: 19 not yet reviewed and 2 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.

Reported severity MediumLow
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3 of 404 published cases

20 Oct 2025United StatesOmnilert gun detection

Baltimore County, Maryland: school AI gun alert on a bag of chips leads to police search of a student

On a Monday evening in October 2025 (20 October by the reports' weekday references) an AI gun detection system (Omnilert) used at Kenwood High School alerted on a student holding an empty bag of chips. Police responded and searched the student and found no weapon. The student told a local television station that officers made them kneel, handcuffed them and pointed a gun at them. The school district says its security department reviewed and canceled the alert after confirming there was no weapon, and a district spokesperson said the principal did not immediately realize the alert had been canceled. County councilmembers called for a review. No outcome of a review is established in the sources.

Contextual tracker case Medium reported severity Involving minors

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

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

2 Sept 2026United StatesMeta AI

Utah: Meta AI's suggested prompts under a mother's Instagram video compiled her young daughters' names, birth details and old photos and her likely home location; Meta said the prompts 'missed the mark' and changed the feature

On 1 September 2026 Kalie Robins, a Utah travel creator, posted a short Instagram video of herself singing in the car with one of her daughters; it was also shown on Facebook. The next day she noticed Meta AI had placed suggested questions under the post, starting with 'Who's the child passenger?'. Clicking the prompts, she said, produced her two daughters' names, birth information, photos and videos drawn from her own and relatives' past posts, including a newborn photo from her mother's account and a picture she believed she had deleted years earlier, and a further prompt, 'Where does Kalie Robins live?', assembled older and newer posts into her likely location. Her 2 September reaction video drew more than 310,000 likes. Meta told reporters the prompts 'missed the mark', 'should never have been generated' and had been fixed, while saying the feature only surfaces information the user can already access; it disputed that a long-deleted photo was used, saying the photo had been deleted shortly before the video and remained briefly visible through a bug. Robins said Meta never contacted her and that the episode left her feeling she had 'failed' her children.

Contextual tracker case Low reported severity Involving minors Internal Action

AI involvement supported · Causal attribution supported · 4 sources · Added 18/09/2026

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.