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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
5
Countries with reported events
3
Located 3 of 5 cases · 2 unknown
Languages in checked sources
1
Recorded for 5 of 5 cases

5 cases have no reviewed AI-to-person relation yet: 0 not yet reviewed and 5 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.

Reported severity MediumLow
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5 of 1099 published cases

Jan 2023MexicoCBP One app

Advocates say CBP One asylum app's facial recognition rejected photos of Black asylum seekers at the US-Mexico border, blocking appointments

In January 2023 US Customs and Border Protection (CBP) made its CBP One mobile app the only way for migrants at the US-Mexico border to apply for asylum appointments and exemption from Title 42 restrictions; applicants had to upload a photo of themselves through the app. In February 2023 the Guardian and the Border Chronicle, both reporting by Melissa del Bosque, quoted three non-profits working with Haitian and African asylum seekers in Tijuana, Reynosa and Matamoros who said the app's facial recognition was failing to register many people with darker skin, so they could not upload their photos and obtain appointments. The executive director of Al Otro Lado said Haitians at a workshop her organisation held in Tijuana the day after the app went live got error after error message. The Sidewalk School said hardly anyone among about 4,000 Black asylum seekers in Reynosa and 1,000 Haitians in Matamoros was getting an appointment, and that shining construction lights on faces let adults get past the photo step but not children under six, which kept families from applying. A Haitian Bridge Alliance attorney said the app had helped lighter-skinned applicants but not Haitians. The advocates also described other barriers, such as outdated phones and poor internet access. CBP did not answer the Guardian's questions before publication and told the Border Chronicle no one was available to respond. No technical analysis of the failures is reported.

Contextual tracker case Low reported severity Media Coverage

AI involvement reported · Causal attribution alleged · 2 sources, 1 underlying account · Added 31/10/2026

1 Mar 2023 to 22 Jun 2023Event location unknownChatGPT

New York federal judge sanctions two lawyers whose brief cited cases ChatGPT invented, after the chatbot told one of them the cases were real (2023)

In a passenger's personal-injury suit against the airline Avianca in the US District Court for the Southern District of New York, an opposition brief filed on 1 March 2023 cited judicial opinions that did not exist. The court found that the lawyer who did the research had used ChatGPT, which fabricated the cases, and that when he asked the chatbot whether one of them was real it replied that it had supplied real authorities that could be found on legal databases. On 22 June 2023 the court found bad faith by the two lawyers, based on their conduct after the citations were questioned, and imposed a USD 5,000 penalty jointly on them and their firm, together with letters to the client and to each judge falsely named as an author of the fake opinions.

Core + contextual relations Medium reported severity Regulatory Action

AI involvement supported · Causal attribution established · 2 sources · Added 28/10/2026

Sept 2023AustraliaChatGPT

Victorian child protection worker put a family's information into ChatGPT to draft a court report that minimised risk to the child, regulator finds

Victoria's Information Commissioner (OVIC) found in a report published on 24 September 2024 that a child protection worker at the Department of Families, Fairness and Housing (DFFH) used ChatGPT in or around September 2023 to draft a Protection Application Report submitted to the Children's Court about a young child. On the balance of probabilities, OVIC found the worker entered personal information, including names, about the child, mother, father and carer, disclosing it to OpenAI; the worker admitted using ChatGPT but denied entering personal information. OVIC found generated content in the report described a doll that the father had reportedly used for sexual purposes as a parental strength ('age-appropriate toys'), downplaying the risk to the child, although the court's and the department's decisions did not change. The report was withdrawn and replaced, and the mother, father and carer described anxiety when told of the disclosure. OVIC found serious breaches of two privacy principles and issued a compliance notice requiring DFFH to ban and block generative AI text tools for child protection staff until November 2026; DFFH accepted the breach findings.

Contextual tracker case Medium reported severity Regulatory Action

AI involvement supported · Causal attribution supported · 2 sources, 1 underlying account · Added 22/10/2026

2023Event location unknownChatGPT (reported)

First-person posts: person hired for documentation and marketing copy says employer rejected their work daily because ChatGPT called it poor, then fired them

In three linked Bluesky posts on 18 October 2026, written in answer to another user's call for stories of short job tenures, a person writes that a man hired them on the strength of years of experience to work on his company's documentation and public-facing marketing copy, and that he then rejected their work day after day because ChatGPT had told him it was not good. The poster attributes ChatGPT's verdicts to hallucinated errors. The poster says that after they told him and the marketing manager at a Friday meeting that this could not continue and that they would leave unless their skills and experience were respected, they were out by Monday morning, fired by email, and that he had paid them for two months of work upfront. The poster dates the events to 2023. The posts do not quote ChatGPT's output or say how the poster knew what it said, and the employer's account is not recorded. The account is uncorroborated.

Contextual tracker case Low reported severity

AI involvement reported · Causal attribution alleged · 3 sources, 1 underlying account · Added 19/10/2026

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