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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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Located 1 of 1 cases · 0 unknown
Languages in checked sources
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Recorded for 1 of 1 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.

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1 of 917 published cases

2025RussiaAntiplagiat AI-text detector

Russia: university expelled a student after its Antiplagiat AI-content check flagged her thesis; Kazan courts ordered reinstatement and damages

RAPSI and BIZNES Online reported on 8 and 10 June 2026 that the Supreme Court of Tatarstan upheld a ruling that a private Moscow university unlawfully expelled a distance-learning student in 2025 over suspected use of AI in her graduation thesis. According to the university's representatives in court as reported, the Antiplagiat.Vuz system first showed about 41% (41.91%) AI-generated text, her supervisor then said the word order had been deliberately disturbed in more than 70% of the text, and a third check showed 11.92%. BIZNES Online also reports, from the court documents, that a university representative told the court the supervisor does not operate the checking system and had not in fact analysed the text for neural-network generation, and could not explain how the system distinguishes borrowed text from AI generation. The university refused the revised work as late (uploaded on Monday 9 June 2025 against a deadline of 8 June) and expelled her; the department's protocol cited a breach of good-faith work in the Antiplagiat.Vuz system. She denied using AI. In January 2026 the Vakhitovsky District Court of Kazan held the expulsion unlawful, ordered her reinstatement for a check of her thesis and, if it met the originality threshold, admission to the defence, and awarded 40,000 roubles in moral damages and a 20,000-rouble fine. The Supreme Court of Tatarstan dismissed the university's appeal: it held that the probabilistic report had not been checked by a competent expert and could not be the sole proof of bad faith, noted that the same text was classified as AI-generated in one report and not in another, and found no evidence that any flagged fragments resulted from her deliberate acts rather than her sources or an incorrect algorithm. The courts also held the deadline had been miscounted.

Contextual tracker case Medium reported severity Lawsuit Filed

AI involvement supported · Causal attribution supported · 3 sources, 1 underlying account · Added 25/10/2026

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: 25/10/2026. Dataset available under CC BY 4.0.