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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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Published cases
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Located 0 of 1 cases · 1 unknown
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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 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.

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 896 published cases

2023Event location unknownUnidentified generative AI tools

IgniteTech CEO says he replaced nearly 80% of staff in 2023 and early 2024 after employees resisted his generative-AI mandate

Fortune reported on 17 August 2025 that Eric Vaughan, chief executive of the enterprise-software company IgniteTech, replaced nearly 80% of the company's staff within a year after deciding in early 2023 that generative AI was an existential transformation, according to headcount figures Fortune reviewed. Vaughan told Fortune that over 2023 and into early 2024 the company replaced hundreds of employees, declining to give a number. He said staff were required to work only on AI projects every Monday and that 20% of payroll went to AI learning, and that employees who flatly refused were let go ('we said goodbye to those people'); technical staff were the most resistant, raising concerns about what the AI could not do. He said it was extremely difficult and not something he recommends, but that he would do it again. The account is the employer's; no dismissed employee is quoted.

AI relation unknown Medium reported severity

AI involvement reported · Causal attribution alleged · 1 source · Added 24/10/2026

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: 24/10/2026. Dataset available under CC BY 4.0.