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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
1
Countries with reported events
1
Located 1 of 1 cases · 0 unknown
Languages in checked sources
1
Recorded for 1 of 1 cases

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

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 Low
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1 of 680 published cases

Apr 2026United StatesUnidentified AI coding tool (suspected)

Over half of a Purdue programming class dropped the course after the professor emailed 200-plus students alleging AI cheating; allegations later withdrawn

In April 2026 the professor teaching CS 240, a programming course at Purdue University in West Lafayette, Indiana, emailed more than 200 students in the class alleging that he had caught them cheating on assignments with AI tools, according to the Lafayette Journal & Courier. The email gave the students a form on which to admit or deny AI use on each assignment and warned that failure to respond would result in an F for the course and an unfavourable letter to the dean of students. It was sent on the deadline for dropping a class, and more than half of the class unenrolled. A student quoted by the newspaper said the main objection was that he had not said which assignments were flagged or how they were detected. After a weekend of attention on social media and a class discussion called by the department, it was announced that the allegations of cheating and AI use so far in the semester were dropped and that anyone could re-enrol. The professor said he would keep using his AI detection tool. No source describes what that detection method was, and how many of the accused had used AI is not known.

AI relation unknown Low reported severity Internal Action

AI involvement suspected · Causal attribution supported · 2 sources, 1 underlying account · Added 15/10/2026

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: 15/10/2026. Dataset available under CC BY 4.0.