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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
3
Countries with reported events
2
Located 2 of 3 cases · 1 unknown
Languages in checked sources
1
Recorded for 3 of 3 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 Low
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3 of 964 published cases

1 May 2025United StatesApriora AI interviewer (reported)

Ohio job applicant says an AI interviewer for a fitness-studio job glitched, repeating 'vertical bar Pilates' instead of its questions, leaving her creeped out

A college student in Ohio told Gazetteer SF that, after a staff member reviewing her application for a part-time front-desk job at a nearby StretchLab fitness studio said she would be screened by an AI interviewer, she took the call with the AI interviewer, which Gazetteer SF and the New York Post report was Apriora's 'Alex'. Partway through, she said, it began repeating the phrase 'vertical bar Pilates'; it apologised and said it meant to ask about her availability, then cut itself off and repeated the phrase again, which she recorded. Her video showed the phrase repeated for its whole length, and the New York Post, relaying her interview with 404 Media, said it was repeated 14 times in 25 seconds. She said she was creeped out and shocked, and said she would decline future AI interviews. Neither Apriora nor StretchLab responded to the outlets, and whether the application went further is not reported.

Core concern Low reported severity

AI involvement reported · Causal attribution alleged · 2 sources · Added 27/10/2026

Oct 2026Event location unknownChatGPT Dot (reported)

Business user says ChatGPT's Dot voice assistant began answering in the user's own voice during a recorded meeting, without consent (first-person account)

In a public post to r/OpenAI created on 17 October 2026, a person who says their small retail team uses ChatGPT on a business subscription writes that they had started that week to use Dot, ChatGPT's assistant, by phone call, including to record and summarise meetings. During a recorded meeting with a store manager, the poster says, the assistant repeated what was being said aloud and then answered in the poster's own voice and cadence; asked why its voice was different, it apologised for slipping into a different voice, and later said it could not be the poster's voice. The poster writes that they and the manager were both freaked out and hung up, that they did not authorise it to clone their voice, and that it may have been a glitch or hallucination. A commenter says voice modes have mimicked users' voices before; the poster replies that they were not aware of this. The poster still recommends the product. The account is uncorroborated and no recording or vendor response is reported.

Core concern Low reported severity

AI involvement reported · Causal attribution alleged · 1 source · Added 18/10/2026

30 Mar 2026South AfricaSASSA eLife facial verification

South Africa: pensioners report repeated failures of the facial recognition step in SASSA's eLife certification portal, and SASSA reports disruptions and office queues

The South African Social Security Agency (SASSA) introduced an online eLife Certification (life certification) for grant beneficiaries that uses biometric verification through its electronic Know Your Client (eKYC) system. IOL reports the certification was implemented on 30 March 2026. SASSA says beneficiaries who do not complete life certification as directed may face payment delays or suspension. On 10 April 2026 SASSA apologised to beneficiaries who could not access the portal, said system glitches linked to interfaces with other departments had caused delays, disruptions and long queues at its offices, and said the problem was resolved. On 23 April 2026 IOL reported that a pensioner couple said they had tried the facial recognition option 22 times since 2 April without success, and that beneficiaries nationwide told IOL they could not complete the certification, citing failures with facial recognition and one-time PINs, with one pensioner also reporting a message that Home Affairs was not available to verify their particulars. A SASSA spokesperson said the portals work and that 13,644 (88%) of the 15,499 unique clients who accessed the online verification services by 16 April were verified, and IOL reports SASSA admitted the system has been working intermittently. In a May 2026 report on a parliamentary reply, IOL said SASSA stated that unsuccessful facial recognition attempts on online platforms were among the causes of non-verification (those beneficiaries are redirected to fingerprint checks at local offices) and that it had recorded 7,779 complaints linked to its electronic facial biometric system. The department attributed facial verification issues to poor lighting, unstable connectivity or missing biometric records at Home Affairs. Neither May report mentions the eLife portal, and IOL places the figures within a biometric verification rollout that it dates from September 2025. The reports do not say how many grants were suspended because of facial verification failures.

Contextual tracker case Low reported severity

AI involvement reported · Causal attribution alleged · 5 sources, 4 underlying accounts · 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: 27/10/2026. Dataset available under CC BY 4.0.