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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 Medium
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2 of 1099 published cases

2019Event location unknownSiri

Whistleblower says accidental Siri activations recorded private conversations heard by Apple contract graders; Apple apologised and later settled class suit

On 26 July 2019 the Guardian reported that contractors grading a small share of Siri recordings for Apple regularly heard confidential information. Its anonymous source, a contractor, said Siri was often activated by mistake, for example by the sound of a zip, and that these accidental activations captured private discussions between doctors and patients, business deals, apparently criminal dealings and sexual encounters, with location, contact details and app data attached. Apple told the Guardian that requests were not linked to users' Apple IDs and that less than 1% of daily activations were graded. On 28 August 2019 Apple apologised, said it had suspended human grading, and said audio would no longer be retained by default, grading would become opt-in and recordings found to be inadvertent triggers would be deleted. Device owners' class action, Lopez v. Apple in the federal court in Oakland, alleged that Apple recorded private conversations after unintended Siri activations and disclosed them to third parties. Apple agreed to pay $95 million while denying wrongdoing, and co-class counsel say the judge granted final approval on 16 October 2025.

Contextual tracker case Medium reported severity Lawsuit Settled

AI involvement supported · Causal attribution supported · 4 sources · Added 29/10/2026

Dec 2019 to Jul 2020United StatesUnidentified facial recognition system

US: FTC says Rite Aid's facial recognition falsely matched shoppers to a watchlist, leading staff to search an 11-year-old girl and call police on a woman

In a complaint filed in federal court in Pennsylvania on 19 December 2023, the US Federal Trade Commission alleged that the pharmacy chain Rite Aid used facial recognition in its stores to match customers against a database of people it suspected of shoplifting or other wrongdoing, and that staff acted on the match alerts by following, searching, ejecting and publicly accusing customers and by calling the police. The FTC says many alerts were false positives: employees recorded thousands of false-positive alerts between December 2019 and July 2020, staff stopped and searched an 11-year-old girl on a false match, and employees called the police on a Black woman matched to an image of a white woman with blonde hair. Rite Aid agreed to a proposed order barring it from using facial recognition in retail stores for five years, without admitting or denying the allegations.

Contextual tracker case Medium reported severity Regulatory Action

AI involvement reported · Causal attribution alleged · 2 sources, 1 underlying account · Added 22/10/2026

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: 04/11/2026. Dataset available under CC BY 4.0.