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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

Explore incidents Our scope and evidence

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
1Core concern
AI communicated, acted for, depicted or impersonated 2Contextual 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 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.

1 20211 2025
Reported severity HighMedium
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3 of 1101 published cases

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Event date unknownUnited StatesUnidentified voice-cloning tool

Baltimore County, Maryland: police say a high school's athletic director framed the principal as racist with an AI-cloned voice recording

Police in Baltimore County, Maryland, said in April 2024 that a high school principal had been framed as racist by a fake recording of his voice containing racist and antisemitic comments, which appeared in teachers' email inboxes and spread on social media. Court records cited by the Associated Press say an expert consulted by detectives found traces of AI-generated content with human editing; a second expert found spliced recordings and told AP he had not confirmed the clip was fully AI-generated. The principal went on leave while police guarded his house. The school's athletic director, investigated for using AI to make the recording in retaliation, entered an Alford plea, maintaining his innocence, and was sentenced in 2025 to four months for disturbing school operations, CBS Baltimore reports.

Core concern Medium reported severity Criminal Charges

AI involvement reported · Causal attribution supported · 2 sources · Added 22/10/2026

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

23 Jun 2021United StatesUnidentified facial recognition system

Maryland/Oklahoma: Kimberlee Williams, an Oklahoma woman who says she had never been to Maryland, was arrested in June 2021 and jailed about six months on bank-fraud charges in three Maryland counties after a facial-recognition search by an unknown CrimeDex respondent named her; all charges were dismissed by December 2021 and the ACLU filed complaints in April 2026

According to police and bank records reviewed by the Washington Post, in December 2019 a woman made fraudulent withdrawals at a SunTrust branch in Potomac, Maryland; branches in two other Maryland counties were also defrauded. A bank investigator posted the surveillance photos on CrimeDex, an online network of police and corporate investigators; an unknown respondent ran the image through facial-recognition software and returned Kimberlee Williams's name and photo, and the investigator told Montgomery County police that facial-recognition software had identified her. Police in Montgomery, Prince George's and Anne Arundel counties charged her in 2020 on the investigator's identification and their own visual comparison of photos (two departments also cited her old Oklahoma check-fraud convictions), without reported checks of her whereabouts; Montgomery County police did not disclose the facial-recognition search in the charging application, according to police records reviewed by the Washington Post and the ACLU. On 23 June 2021 she was arrested at the gate of Fort Sill near Lawton, Oklahoma, while accompanying her daughter on a DoorDash delivery, spent about three weeks in an Oklahoma jail, was flown to Maryland, and faced 16 charges including 12 felonies. The counties dismissed the charges one after another, in October and December 2021, after about six months in jail. Her daughter says she was depressed afterwards; the ACLU says the ordeal harmed her mental and physical health. On 14 April 2026 the ACLU and ACLU of Maryland sent complaint letters to the three departments seeking an apology and reforms.

Contextual tracker case High reported severity Media Coverage

AI involvement reported · Causal attribution alleged · 4 sources, 3 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: 11/11/2026. Dataset available under CC BY 4.0.