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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
2
Countries with reported events
1
Located 2 of 2 cases · 0 unknown
Languages in checked sources
1
Recorded for 2 of 2 cases
1Core concern
AI communicated, acted for, depicted or impersonated 0Contextual 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 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.

When events happened

1 case 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.

1 2026
Reported severity Low
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2 of 868 published cases

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Event date unknownSwedenUnidentified AI writing tool (suspected)

Lund University student who denies cheating is suspended for six weeks after the disciplinary board judges her fast-written exam answers AI-made, papers report

A student at Lund University wrote close to 1,500 words in six minutes during an exam in May, while other students took around two hours, according to Aftonbladet's relay, dated 28 September 2026, of a Sydsvenskan report. The teacher's report to the university said a writing speed of around 300 words a minute is not realistic for independently produced answers. The student denies cheating: she says she had technical problems, believed the exam would not be graded and wrote only 20 to 50 words per question. The university's disciplinary board sided with the teacher, judged that she had used AI and suspended her from her studies for six weeks. The report does not name an AI tool or describe any detection tool.

AI relation unknown Low reported severity Internal Action

AI involvement suspected · Causal attribution supported · 1 source · Added 23/10/2026

14 Sept 2026 to 25 Oct 2026SwedenUnidentified AI writing tool

Luleå university board suspends two students for six weeks over unauthorised AI use whose submitted work cited invented sources, local paper reports

The disciplinary board of Luleå University of Technology (LTU) in northern Sweden decided six disciplinary cases and suspended five students from teaching for six weeks, from 14 September to 25 October 2026, Norrbottens-Kuriren reported on 21 September 2026. In two of the cases, according to the newspaper, the matter was unauthorised use of AI in which the submitted work contained invented source references, among them a reference to a book that does not exist. The other suspensions concerned plagiarism of a classmate's lab report and unauthorised notes at an exam; a sixth student received a warning. The report does not name the AI tool, the courses or the students and quotes neither the students nor the university.

Core concern Low reported severity Internal Action

AI involvement reported · Causal attribution supported · 1 source · 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.