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

Reported severity MediumLow
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5 of 174 published cases

Mar 2026Event location unknownAI medical scribe (product not named in the report)

Reported by ABC News (Australia): an AI scribe used at a urology appointment inserted a false claim that the patient took psychedelic mushrooms into her record; the error reached her GP in a post-operative letter and was corrected only after she complained

A patient who consented to having her first urology appointment transcribed by an artificial-intelligence scribe discovered, after her kidney-stone surgery in March 2026, that the post-operative letter her specialist sent to her GP stated she micro-dosed psychedelic mushrooms and that this could explain earlier bleeding around the kidneys. She says she has never taken mushrooms. She was receiving workers' compensation and feared that any mention of illegal drugs on her medical record could affect her case. After she complained, the urologist sent a letter of apology saying the practice takes documentation accuracy seriously, that she could not determine how the claim came to be included but that it appeared to be an error during the 'dictation or transcription process', that the correspondence had been corrected and that she would review how AI was used in her practice. The doctor did not answer ABC's questions about what changes had been made. Australia's practitioner regulator AHPRA told ABC that clinicians must check all AI-scribe output; the patient says it was clear her doctor had not. The account is a single ABC News report (14 August 2026) based on the patient's interview and the letters she received; the scribe product and the clinic's location are not named.

Contextual tracker case News report AI involvement: reported Causal attribution: alleged Low reported severity Internal Action

Added 20/09/2026

Event date unknownUnited StatesFlock Safety automated license plate readers (San Jose Police Department camera network)

San Jose: police officer fired after passing Flock license-plate-reader location data to a relative accused of domestic violence, who used it to find his accuser

San Jose's police chief announced on 11 September 2026 that an officer had been fired after accessing the department's Flock Safety automated license-plate-reader data on his personal phone and giving a vehicle's location to his cousin, a suspect in a domestic-violence case, who used it to locate the woman accusing him. The chief called it 'a betrayal of the public trust', said the officer was placed on leave, criminally investigated and referred to the district attorney, and that the case was submitted to California's peace-officer standards commission for decertification; neither the officer nor the cousin has been charged. The department has since barred access to the system from personal devices and is testing auditing tools. Neither the victim nor the officer is named in the inspected reports.

Contextual tracker case Local tv news AI involvement: supported Causal attribution: supported Medium reported severity Internal Action

Added 16/09/2026

1 Aug 2024 to 1 Oct 2024United StatesFACES (Face Analysis Comparison and Examination System), Pinellas County Sheriff's Office

Florida: 93% facial-recognition hit led to Robert Dillon's arrest as an attempted child abductor; charges dropped, ACLU suit filed

In August 2024, Robert Dillon, a 52-year-old self-employed commercial crabber from the Fort Myers area, was arrested at his San Carlos Park home on a third-degree felony warrant for the attempted luring of a child at a Jacksonville Beach McDonald's in November 2023 — a crime he had no part in. The warrant rested on a 93%-confidence result from FACES, the Face Analysis Comparison and Examination System maintained by the Pinellas County Sheriff's Office, run against low-resolution cell-phone photos of a surveillance screen, plus a restaurant employee's photo-lineup identification. Dillon spent a night in jail and bonded out against his truck's title; prosecutors dropped the charges in October 2024 after work-alibi evidence, but it took about a year to expunge the arrest and remove his mugshot. In June 2026 the ACLU filed a federal lawsuit (M.D. Fla.) against Jacksonville Beach, the Jacksonville sheriff and the Pinellas County Sheriff's Office, calling Dillon one of at least 14 known wrongful arrests from police reliance on facial recognition since 2019.

Contextual tracker case News report AI involvement: supported Causal attribution: supported Medium reported severity Lawsuit Filed

Added 15/09/2026

1 Nov 2024 to 28 Jan 2026United StatesTurnitin AI-detection software (and the university's reliance on it)

Adelphi accused Orion Newby of AI plagiarism after a detector flagged his paper; a Nassau County judge ordered the finding expunged

Orion Newby, an Adelphi University first-year student with language and auditory processing disabilities, received a zero in November 2024 on a World Civilizations paper after the professor suspected it was AI-generated and the university relied in part on AI-detection software; he was ordered to attend a plagiarism workshop and his appeal was denied, leaving him one finding from suspension or expulsion. Newby — who had written the paper with 15-20 hours of tutor support through the university's own disability program — said the detectors flagged his citations, and two other detectors scored the paper as human. After the family sued, New York State Supreme Court Judge Randy Sue Marber in Nassau County ruled on 28 January 2026 that Adelphi's finding and its denial of his appeal were 'without valid basis and devoid of reason' and ordered his record expunged. The family spent six figures on legal costs.

Contextual tracker case News reportLocal tv newsTrade press relaying newsday AI involvement: supported Causal attribution: supported Medium reported severity Lawsuit Filed

Added 15/09/2026

29 Jan 2025United StatesSnapchat automated 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 News report foia recordsNews reportLocal tv newsContent farm rehash AI involvement: supported Causal attribution: supported Medium reported severity Criminal Charges

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: 22/09/2026. Dataset available under CC BY 4.0.