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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
2
Countries with reported events
1
Located 1 of 2 cases · 1 unknown
Languages in checked sources
1
Recorded for 2 of 2 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 MediumLow
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2 of 833 published cases

Oct 2026Event location unknownUnidentified AI job-interview tool

First-person post: job applicant says an AI interviewer for an online tutoring company kept interrupting their answers, so they quit the interview

In a Reddit post on 21 October 2026, a job applicant writes that a first-round interview for an online tutoring company, attended by appointment, turned out to be conducted by an AI. The poster says the AI interrupted them at least three times for every question it asked, that they ended up yelling at the computer in case they were not speaking loudly enough, and that after 13 minutes of an interview billed at eight to ten minutes they had answered only a handful of questions. The poster says they closed the tab and sent the company contact an angry email. The company, the interview tool and any reply from the company are not named or reported. The account is uncorroborated.

Core concern Low reported severity

AI involvement reported · Causal attribution alleged · 1 source · Added 22/10/2026

2017United StatesWorkday applicant screening tools

Job applicant alleges Workday's AI applicant-screening tools rejected more than 100 of his applications on the basis of race, age and disability; a US federal court let disparate-impact claims proceed and preliminarily certified an age-discrimination collective

Derek Mobley sued Workday in the US District Court for the Northern District of California, alleging that the company's algorithm-based applicant screening tools discriminated against him and other job applicants on the basis of race, age and disability. According to the court's summary of the complaint, Mobley alleges that since 2017 he applied to more than 100 positions with companies that use Workday's screening tools and was denied employment on every one, in one instance less than an hour after applying at 12:55 a.m. On 12 July 2024 the court dismissed the claims of intentional discrimination and allowed the disparate-impact claims to proceed. On 16 May 2025 it granted preliminary certification of a collective on the age-discrimination claim, by which time four further plaintiffs over forty had joined. The Black Information Network, citing Reuters, reported on 24 September 2026 that the plaintiffs had asked the court to certify a class action and that a hearing is set for 9 March 2027. Workday denies wrongdoing and says its customers control how applicants are sorted, reviewed and rejected. No court has ruled on whether the tools discriminated.

Contextual tracker case Medium reported severity Lawsuit Ongoing

AI involvement reported · Causal attribution alleged · 3 sources, 2 underlying accounts · Added 05/10/2026

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: 22/10/2026. Dataset available under CC BY 4.0.