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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
3
Countries with reported events
2
Located 3 of 3 cases · 0 unknown
Languages in checked sources
3
Recorded for 3 of 3 cases

2 cases have no reviewed AI-to-person relation yet: 0 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.

No known event years in this selection.

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3 of 1099 published cases

Event date unknownBrazilUnidentified facial recognition system

Police in Espírito Santo say a man photographed an 81-year-old's face, passed his bank app's facial recognition on his own phone and took R$6,080; arrested

Folha Vitória reported on 29 September 2026, citing the Espírito Santo Civil Police, that a 39-year-old man was arrested on 28 September on a preventive warrant after an inquiry into qualified theft by electronic fraud against an 81-year-old man in the north-west of the state. According to the police, the suspect, who worked as a security guard at a dance venue, invited the man to his home on the pretext of making a free-entry card, kept his bank card, obtained personal data and photographed his face. The police say he used the images to get past the facial recognition of the banking app and enable access to the account on his own phone, then reset security passwords, redeemed investments and made Pix transfers without the victim's knowledge, diverting R$6,080. The victim is described as illiterate. The police say the suspect had prior records and was serving a sentence under a progressive regime. Folha do ES and Tribuna Norte Leste carried the same police account but could not be read.

Contextual tracker case Low reported severity Criminal Charges

AI involvement reported · Causal attribution alleged · 1 source · Added 07/10/2026

Event date unknownUnited StatesFlock Safety license plate readers

Kansas couple pulled over twice after Flock license-plate cameras matched their KU alumni plate number to a stolen pickup's temporary tag; in Catoosa, Oklahoma, officers held them at gunpoint and handcuffed the husband, KAKE reported in January 2024

KAKE News reported on 30 January 2024 that a Kansas couple whose minivan carries a four-digit University of Kansas alumni specialty plate were pulled over twice after Flock cameras flagged their plate number as belonging to a stolen vehicle. A stolen GMC pickup had a temporary tag with the same number, and the stolen-vehicle entry recorded the wrong plate type. In Colwich, Kansas, police stopped the wife after an alert from a Flock camera at the edge of town; the officer knew her vehicle and the problem was quickly found. About a month later, according to the husband, another Flock camera alerted police in Catoosa, Oklahoma, where officers blocked the couple's van in a parking lot, pointed drawn guns at them, ordered the husband out and onto his knees and handcuffed him. He said he was scared, and the couple say they worry such a stop could have devastating consequences for someone. Wichita police told KAKE that Flock cameras report only the plate's numbers and letters, not its type, and that the department had spoken with Flock about training its AI to recognize plate backgrounds.

Contextual tracker case Medium reported severity Media Coverage

AI involvement supported · Causal attribution supported · 1 source · Added 04/10/2026

Event date unknownBrazilUnidentified facial recognition system

Serra, Espírito Santo: a personal trainer who swapped his motorcycle for what turned out to be a rented car was told to complete a facial-recognition check 'to transfer the car's title'; police say the biometric was then used to contract a vehicle financing in his name, leaving a loss above R$100,000 (suspect arrested 22 September 2026)

The Espírito Santo Civil Police (Defa, the fraud and forgery unit) said a 27-year-old man was arrested on a warrant in Serra on 22 September 2026, suspected of defrauding a personal trainer of more than R$100,000. According to the police, the suspect offered a car in exchange for the victim's motorcycle; during the negotiation he persuaded the victim to perform a facial-recognition procedure, saying it was needed to transfer the car's ownership; the biometric was later used to contract a vehicle financing in the victim's name without his authorisation, and weeks after the exchange the victim discovered that the car he had received did not belong to the suspect and was a rental. The loss, combining the motorcycle and the fraudulently contracted financing, exceeded R$100,000. The suspect, who police say had been arrested in São Paulo in July 2025 in a 'love scam' case, was taken to the Centro de Triagem at the Rodrigo Figueiredo da Rosa prison complex and remains at the disposal of the courts. The financing provider and the facial-recognition system are not identified, and the reports do not say how the captured biometric was used to pass the financing.

Contextual tracker case Medium reported severity Criminal Charges

AI involvement reported · Causal attribution alleged · 4 sources, 1 underlying account · Added 26/09/2026

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: 04/11/2026. Dataset available under CC BY 4.0.