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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

In this selection

Published cases
4
Countries with reported events
2
Located 4 of 4 cases · 0 unknown
Languages in checked sources
2
Recorded for 4 of 4 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.

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4 of 1101 published cases

13 Apr 2024BrazilUnidentified facial recognition system

Aracaju (Brazil): facial recognition falsely matched a football fan to a wanted man; police led him from the stands and the state suspended the system

During the half-time interval of the Sergipe state football championship final at the Batistão stadium in Aracaju on 13 April 2024, military police took a personal trainer from the stands to a police room after the stadium's facial recognition system flagged him as a man with an open arrest warrant; he was searched and questioned and released once police confirmed he was not the person sought (G1, his lawyer and the military police). Sergipe's governor publicly regretted 'the failure of the facial recognition tool' and suspended its use until a new protocol was adopted. In June 2024 the man sued the state for 550,000 reais in moral damages; the state argued that the Aracaju municipality, not the state, had contracted the system. In December 2025 the judge rejected that preliminary objection, according to Mangue Jornalismo, which read the court file. No final judgment is reported.

Contextual tracker case Medium reported severity Lawsuit Ongoing

AI involvement reported · Causal attribution supported · 3 sources, 2 underlying accounts · Added 24/10/2026

Jul 2025United StatesAbridge (reported)

Class action alleges San Diego health system Sharp's Abridge AI scribe recorded a patient's exam-room visit without consent and charted false consent

A proposed class action filed in San Diego Superior Court in late 2025 alleges that Sharp HealthCare, which began using the AI documentation app Abridge in April 2025, recorded doctor-patient conversations without telling patients, sent the audio to the vendor's servers and used it to generate draft medical notes. According to the lawsuit as reported by KPBS, the named plaintiff discovered that a July appointment at a Sharp clinic had been recorded only when he read his medical notes; the clinic apologised, acknowledged the recording and told him the file could stay on the vendor's servers for about a month. The complaint also alleges that Abridge inserted statements into charts that patients had been advised of the recording and had consented, when the plaintiff says that never happened. It seeks damages, corrected medical records and an order against using the tool without consent, and estimates that more than 100,000 patients may have been recorded. Sharp told reporters it could not comment on pending litigation. The allegations have not been tested in court in the sources read.

Contextual tracker case Low reported severity Lawsuit Filed

AI involvement reported · Causal attribution alleged · 3 sources, 2 underlying accounts · Added 17/10/2026

2 Aug 2020United StatesUnidentified license plate reader

Aurora, Colorado: police held a woman and four children at gunpoint in 2020 after a plate reader matched her SUV to a stolen motorcycle, The Denver Post reports

On 2 August 2020 Aurora police officers stopped an SUV they believed to be stolen, ordered the woman driving it and four children to lie on the ground at gunpoint, and handcuffed two of the children. The Denver Post reported that a license plate reader at an Aurora intersection had alerted police because the SUV had the same plate number as a stolen motorcycle from Montana, and that officers did not check the reading or the vehicle description. Prosecutors declined to charge the officers in January 2021 and called what happened unacceptable and preventable. The department said all officers were repeating training on license plate scanners. Sentinel Colorado reported that the department's system had flagged the SUV, which carried Colorado plates, and that the City of Aurora agreed in February 2024 to a $1.9 million settlement with the woman and the children to resolve a lawsuit over the officers' actions. One officer was suspended for 160 hours. The woman said the stop destroyed her mentally and that one of the children became withdrawn.

Contextual tracker case Medium reported severity Involving minors Lawsuit Settled

AI involvement reported · Causal attribution supported · 2 sources · Added 05/10/2026

17 Sept 2023United StatesUnidentified facial recognition system

Reno casino's facial recognition wrongly matched a patron to a barred man and police jailed him for about eleven hours, his federal lawsuit alleges

Jason Killinger, a UPS truck driver, alleges in a federal civil-rights complaint filed in July 2025 that on 17 September 2023 the Peppermill Casino in Reno reported to police that its AI facial recognition software had identified him as a man barred from the casino months earlier. According to the complaint, casino security handcuffed him, and the responding Reno police officer, told the system had found a 100 percent match, did not examine his other identification and took him to jail as an unidentified person, where fingerprints confirmed who he was. The complaint says he was handcuffed for about four hours, starting in the casino security office, spent about eleven hours in police and jail custody, and was treated the next day for bruised wrists. According to the complaint, he was then charged with trespassing, and a prosecutor dismissed the charge without prejudice at the bench trial. Casino.org reports that he settled a suit against the casino. In March 2026 the court let him add the City of Reno and a municipal liability claim over facial recognition policies, but refused a new wrongful arrest claim against the officer on qualified immunity grounds. In September 2026 the ACLU, the ACLU of Nevada and the Innocence Project filed a proposed amicus brief supporting him. His September 2026 motion for partial summary judgment says a Reno police detective later concluded that the match was wrong and that he and the barred man were different people, and it cites a declaration by a former casino security officer, who worked there from about October 2024, that the system often alerted at 100 percent on the wrong people; in a declaration reported by Casino.org, the officer said he had never known the system to misidentify anyone. The case is ongoing.

Contextual tracker case Medium reported severity Lawsuit Ongoing

AI involvement reported · Causal attribution alleged · 9 sources, 3 underlying accounts · Added 04/10/2026

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.