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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
3
Located 4 of 4 cases · 0 unknown
Languages in checked sources
3
Recorded for 4 of 4 cases

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

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4 of 964 published cases

30 Apr 2024BraziliFood facial recognition check

Brasília labour court orders iFood to pay delivery worker who says its face check flagged his own photos as another person and got him banned; iFood appeals

A delivery worker in Brazil's Federal District who had worked for the iFood app for about three years says he was banned from the platform in April 2024 shortly after completing the app's daily facial recognition check. iFood support told him another person had tried to access his account; when he asked to see that person's photos, they were his own. G1 reports that the only difference from his registration photo was his hair, which he was growing out. In a judgment reported in June 2025, a Brasília labour judge, applying a default because iFood had not filed a defence in time, accepted as true that the contract was suspended through iFood's fault, that he suffered financial and psychological losses, and that the facial recognition tool had a racist failure, and ordered iFood to pay R$60,000 in moral damages. iFood denies that its facial recognition procedure analyses racial characteristics and has appealed. The account was restored during the case. No appeal ruling has been reported.

Contextual tracker case Medium reported severity Lawsuit Ongoing

AI involvement reported · Causal attribution supported · 3 sources · Added 27/10/2026

7 Jun 2024NetherlandsChatGPT

Dutch sub-district judge used ChatGPT to estimate solar-panel lifespan and power prices in a neighbour dispute, then rejected the homeowner's damages claim

A homeowner in the Netherlands sued his neighbour, whose permitted roof extension shaded his solar panels, claiming more than 21,000 euros for lost yield and investment. In a judgment of 7 June 2024 (ECLI:NL:RBGEL:2024:3636), the sub-district judge of the Rechtbank Gelderland, sitting in Nijmegen, held that the neighbour had to bear half of the damage and then calculated the damage, estimating the average lifespan of solar panels from 2009 and the current average electricity price partly with the help of ChatGPT, as the judgment states. Using a lifespan of 27.5 years, about 15 remaining years and a price of 0.30 euros per kWh, the judge put the yield loss at about 2,250 euros and the maximum damage at 3,323.40 euros; half of that was less than the 3,300 euros the neighbour had offered, so the claim was rejected and the homeowner, who had refused the offer, received nothing and was ordered to pay costs. On the neighbour's counterclaim, the judge assumed, again partly with ChatGPT, that insulation material the homeowner had thrown into water was no longer usable, and ordered him to pay damages of 2,619.02 euros in total. The judgment does not say what was asked or answered, and whether it was appealed is not reported.

Contextual tracker case Low reported severity Lawsuit Dismissed

AI involvement supported · Causal attribution supported · 2 sources, 1 underlying account · Added 24/10/2026

11 Apr 2024United StatesFlock Safety license plate readers

Toledo, Ohio: police stopped a man's pickup at gunpoint in April 2024 after a Flock license-plate camera misread his plate as stolen, released a police dog that bit him, and charged him; prosecutors dropped the charges and he later settled a lawsuit for $35,000

On 11 April 2024 Toledo police officers stopped a pickup truck after a Flock license-plate camera alerted them to a stolen plate. According to the police report and body-camera footage reported by 13abc and ABC News, the camera had misread the plate, which was not stolen. Officers drew their guns, ordered the driver out and to the ground, and a K-9 handler released a police dog as he began to kneel. The driver told ABC News he was bitten seven times on his forearm and elbow, was traumatized and could not work; he was arrested and charged with obstruction, resisting arrest and, later, failure to comply. Prosecutors dropped all charges in August 2024. The department found the dog deployment within policy and reprimanded the officer who made the stop for failing to visually verify the plate against the reader's information. Business Insider reported in March 2026 that police records show the camera read a 7 on the plate as a 2, that the man lost feeling in his fingers, gave up his lawn-care business and forklift work, sold his truck and was evicted, and that he had sued the officer and the city and settled in October for $35,000.

Contextual tracker case High reported severity Lawsuit Settled

AI involvement supported · Causal attribution supported · 5 sources, 3 underlying accounts · Added 04/10/2026

1 Nov 2024 to 28 Jan 2026United StatesTurnitin AI-text detector

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 Medium reported severity Lawsuit Filed

AI involvement supported · Causal attribution supported · 3 sources, 2 underlying accounts · 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: 27/10/2026. Dataset available under CC BY 4.0.