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NOPE

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
8Core concern
AI communicated, acted for, depicted or impersonated 3Contextual 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.

6cases with a recorded lawsuit outcome 3cases 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 20251 2026
Reported severity Low
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3 of 1101 published cases

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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

11 Oct 2026Event location unknownPangram AI-text detector

Caine Prize reviews its 2026 winning story after a Pangram AI-detector scan cited by The Atlantic flagged it as AI-generated; the author denies using AI

A week after a Zimbabwean writer won the £10,000 2026 Caine Prize for African Writing, The Atlantic published an article on Sunday 11 October 2026 whose central evidence was a scan by Pangram, an AI-text detection tool, flagging almost the entire winning story as AI-generated. The Caine Prize said it had begun a review: according to its chair, the author would send documentation of his drafts and the prize was talking to the judges and to the magazine that first published the story. The chair told the BBC that The Atlantic had published before a full investigation, tainting the prize and the winner, and said a detector should not be the final arbiter. The author denied using AI and said he had a documented history of the story's development; his literary agency said it was confident the story was his own work. No finding has been announced.

Contextual tracker case Low reported severity Investigation Opened

AI involvement reported · Causal attribution supported · 2 sources · Added 14/10/2026

12 Mar 2025 to 15 Mar 2025AustraliaChatGPT

NSW Reconstruction Authority says a former temporary staff member uploaded 2031 Resilient Homes participants' personal data to ChatGPT without authorisation

The NSW Reconstruction Authority says that between 12 and 15 March 2025 a former temporary staff member (called a former contractor in its first notice) uploaded a Microsoft Excel spreadsheet of Northern Rivers Resilient Homes Program information, 10 columns and more than 12,000 rows, to ChatGPT, an AI platform the Authority had not authorised. The Authority disclosed the breach on 6 October 2025, estimating that up to 3000 people were affected, and later said external forensic analysis confirmed that 2031 people had some of their data uploaded, including names, contact details, addresses, dates of birth, sensitive personal and health information and limited financial commentary. It says no driver licence, Medicare, passport or Tax File Numbers were disclosed and that there is no evidence the data is publicly available or was accessed by a third party; whether OpenAI retained or used the data is not addressed. The Authority apologised, contacted affected people with ID Support NSW, offered to compensate the replacement of compromised identity documents and notified the NSW Privacy Commissioner. A program participant told the ABC the information was deeply personal and that they felt concerned. No misuse of the data is reported.

Contextual tracker case Low reported severity Investigation Opened

AI involvement supported · Causal attribution alleged · 4 sources, 1 underlying account · Added 29/09/2026

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: 11/11/2026. Dataset available under CC BY 4.0.