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NOPE

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
2
Countries with reported events
2
Located 2 of 2 cases · 0 unknown
Languages in checked sources
2
Recorded for 2 of 2 cases
0Core concern
AI communicated, acted for, depicted or impersonated 0Contextual cases
AI made a decision or claim about someone

2 cases have no reviewed AI-to-person relation yet: 0 not yet reviewed and 2 reviewed as unknown. Show all 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.

0cases with a recorded lawsuit outcome 2cases with a recorded regulatory response 0cases involving minors

Response counts currently use each case’s principal recorded outcome. Further proceedings may be described in its account.

When events happened

0 cases 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.

2 2026
Reported severity MediumLow
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2 of 741 published cases

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Aug 2026United StatesUnidentified document-analysis tool

Connecticut court revokes a self-represented plaintiff's e-filing access after finding hidden instructions aimed at AI systems in his filings

In a memorandum of decision issued in early August 2026, a Connecticut Superior Court judge found that a motion for default and a notice filed on 24 July 2026 by a self-represented plaintiff, in a suit against a healthcare provider over access to records, carried text in tiny white type that was invisible to a human reader but legible to software. The concealed text told any AI model reviewing the filing to make its output agree with the filing and to work toward reversing the Chief Clerk's denial of his default request. After the court gave notice of a sanctions hearing, he hid further messages in later filings, which he said were jokes. The court treated the first instruction as a prompt injection, did not believe his explanation that he was auditing the court's use of AI, and rescinded his ability to file electronically, so that future filings must be made on paper at the clerk's office; Ars Technica reports that no monetary penalty was imposed. The court said the Connecticut Judicial Branch does not use AI to review or decide filings and that the motion was denied on its merits from a printed copy, so the hidden text affected no ruling. The plaintiff told Reuters, according to Ars Technica, that his intent was to audit the court.

AI relation unknown Low reported severity Regulatory Action

AI involvement reported · Causal attribution established · 2 sources, 1 underlying account · Added 18/10/2026

May 2026BrazilGalileu

Pará labour court fines two lawyers about R$84,000 over hidden instruction aimed at the court's Galileu AI; the lawyers deny manipulating the decision

In May 2026 a judge of the 3rd Labour Court of Parauapebas, in the Brazilian state of Pará, fined two lawyers about R$84,000 after text in white font on a white background was found in a document they filed for a worker in a labour claim. According to the sentence as reported by G1, the hidden text was detected while the judgment was being drafted with Galileu, a generative AI tool the labour courts use to help judges and staff draft sentences, and its evident intention was to make the AI produce a superficial defence or a compromised draft judgment. The judge called the technique prompt injection. The lawyers said they disagreed with the decision and that there was never any command to manipulate the judge's decision, describing the text as an attempt to protect their client from the AI; one of them said she did not work on labour cases. In October 2026 the regional labour court announced that a Connecticut Superior Court judge had cited the decision when sanctioning a litigant for misuse of AI.

AI relation unknown Medium reported severity Regulatory Action

AI involvement supported · Causal attribution disputed · 3 sources, 2 underlying accounts · Added 16/10/2026

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: 18/10/2026. Dataset available under CC BY 4.0.