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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

Explore incidents Our scope and evidence

In this selection

Published cases
3
Countries with reported events
1
Located 1 of 3 cases · 2 unknown
Languages in checked sources
1
Recorded for 3 of 3 cases
1Core concern
AI communicated, acted for, depicted or impersonated 1Contextual cases
AI made a decision or claim about someone

1 case has no reviewed AI-to-person relation yet: 0 not yet reviewed and 1 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.

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

3 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.

No known event years in this selection.

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3 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

Event date unknownEvent location unknownUnidentified AI-text detector

Ombudsman upholds autistic student's complaint over AI-misconduct zero mark from panel with detection-software report; student says provider later cleared them

A case summary published in July 2025 by the Office of the Independent Adjudicator for Higher Education (OIA), the independent student complaints scheme for England and Wales, describes a student with autism who was accused of including large sections of AI-generated content in an essay. The student denied using AI and submitted planning and notes. A disciplinary panel, which had the provider's AI detection software report and compared the essay with other work by the student, found academic misconduct and gave a mark of zero with any reassessment capped at a pass; the provider rejected the appeal, in which the student said the same software had earlier flagged another of their essays in a case where it had been agreed they had not used AI. The OIA found the complaint Justified: the panel had not properly considered the student's evidence, had not shared some evidence it relied on, and had not given sufficient reasons. It recommended reconsideration and changes to the provider's rules, and the student told the OIA that on reconsideration the provider decided there had been no misconduct. The provider and the software are not named.

Contextual tracker case Low reported severity Regulatory Action

AI involvement reported · Causal attribution supported · 2 sources · Added 23/10/2026

Event date unknownEvent location unknownUnidentified AI writing tool

Student complaints ombudsman finds a zero mark reasonable for a dissertation the student said was written with help from unacknowledged AI

A case summary published in July 2025 by the Office of the Independent Adjudicator for Higher Education (OIA), the independent student complaints scheme for England and Wales, describes a student who was called to a viva over concerns about a dissertation and told the examiners there that AI had been used to help write it. The student agreed the AI material was not referenced and had not declared the AI use on the form the provider required. A panel found academic misconduct and gave a mark of zero; the provider rejected the student's appeal. The student complained to the OIA, saying they received no credit for being honest about using AI or for the time and effort invested. The OIA found the complaint Not Justified, concluding that the provider followed its procedures, gave the student a fair opportunity to respond and applied a proportionate penalty. The summary does not name the provider, give the date of the events or say which AI tool was used.

AI relation unknown Low reported severity Regulatory Action

AI involvement reported · Causal attribution supported · 2 sources · 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.