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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

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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 0cases 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.

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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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1 of 868 published cases

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Event date unknownUnited StatesUnidentified chatbot

Alcorn State instructor says 32 of 35 students failed part of a midterm after a hidden prompt showed chatbot-written answers; one later had her grade changed

An Alcorn State University history professor in Mississippi said in TikTok videos from 20 July 2026, reported by TechSpot, Fox News and SuperTalk Mississippi, that he had hidden an instruction in white text in a midterm discussion question telling an AI to place the word Madagascar in the answer in a way that makes no sense. According to his account, 32 of 35 students across two classes pasted the question into a chatbot and submitted its output, which mentioned Madagascar in nonsensical sentences, and those students failed that portion of the midterm. He said he let students contest the grade or resubmit their own response; two contested, and one student had her grade changed after saying she had read the hidden text in dark mode and thought it was part of the assignment. He later reported final grades that included one F. The account rests on the instructor's videos; no student or university statement is reported.

Core concern Low reported severity Internal Action

AI involvement reported · Causal attribution supported · 3 sources, 1 underlying account · Added 23/10/2026

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: 23/10/2026. Dataset available under CC BY 4.0.