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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
4
Countries with reported events
3
Located 3 of 4 cases · 1 unknown
Languages in checked sources
1
Recorded for 4 of 4 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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4 of 1099 published cases

2021IndiaSamagra Vedika

Al Jazeera investigation says Telangana's Samagra Vedika system wrongly matched poor families to car owners, and officials denied them food subsidy cards

An Al Jazeera investigation published on 24 January 2024, produced with The Reporters' Collective and the Pulitzer Center's AI Accountability Network, reports that Samagra Vedika, a system the Telangana government uses to consolidate residents' data and check welfare eligibility, wrongly tagged poor families in Hyderabad as owning cars, and that officials relied on those tags to deny them food security cards (subsidised rice). Al Jazeera says the system uses machine learning and entity resolution to match people across databases, and that since 2016 officials have been mandated to check whether the system approved an applicant before deciding. In one case it reports that the system mistook a widow's late husband, a rickshaw puller, for a car owner with a similar name; her renewal application was rejected in 2021 for possessing a four-wheeler. After she traced the vehicle's real owner, officials agreed there had been an algorithmic error but said her family income exceeded the limit, which Al Jazeera says was not the case; she had been without the subsidised rations for more than seven years. A second family, whose husband cannot drive, was rejected in 2021 for possessing a four-wheeler; in November 2023 the High Court of Telangana said the petitioner is eligible whenever new cards are issued. The government says the technology is highly precise and that wrong vehicle or house tags occur in under five per cent of cases and have mostly been corrected.

Contextual tracker case Medium reported severity Media Coverage

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

11 Apr 2026 to 11 Oct 2026Event location unknownChatGPT

Adult ChatGPT Plus subscriber says the account was classified as a teen and restricted, and that OpenAI said profiling had to come first; first-person post

In a Reddit post of 11 October 2026, a ChatGPT Plus subscriber who says they are an adult (36, by the post's own account) writes that when OpenAI's age checks rolled out their account was classified as a teen account and put on a restricted account. The poster says they had earlier emailed OpenAI asking for verification options without ID or a photo, received a canned reply about the verification provider Persona, and on escalating to data protection was told they had to be profiled first. The poster says they then cancelled the subscription. OpenAI's Help Center says ChatGPT uses an age prediction system that reads account signals, automatically enables the teen experience when it predicts an account may belong to someone under 18, can get this wrong, and lets adults verify their age to remove it. The account is the poster's own and is not corroborated.

Contextual tracker case Low reported severity

AI involvement reported · Causal attribution alleged · 2 sources · Added 11/10/2026

8 Jan 2026United KingdomUnidentified facial recognition system

Southampton: Alvi Choudhury arrested at home on suspicion of a Milton Keynes burglary after a police retrospective facial recognition match, held nearly 10 hours, claiming damages

The Guardian, in a joint report with Liberty Investigates, reported on 25 February 2026 that Alvi Choudhury, a 26-year-old software engineer, was arrested at his home in Southampton in January 2026 on suspicion of a £3,000 burglary in Milton Keynes, about 100 miles away, and held in custody for nearly 10 hours. Thames Valley Police had used automated retrospective facial recognition software, which matched him with CCTV footage of the burglary suspect. Choudhury says the man in the footage looked about 10 years younger and had different features. Thames Valley Police wrote to him that the arrest may have been the result of bias within facial recognition technology, and told the Guardian that the decision rested on the investigating officers’ own visual assessment and was not influenced by racial profiling. Choudhury is claiming damages from Thames Valley Police and Hampshire Constabulary.

Contextual tracker case Medium reported severity

AI involvement supported · Causal attribution disputed · 4 sources, 3 underlying accounts · Added 29/09/2026

2 Sept 2026United StatesMeta AI

Utah: Meta AI's suggested prompts under a mother's Instagram video compiled her young daughters' names, birth details and old photos and her likely home location; Meta said the prompts 'missed the mark' and changed the feature

On 1 September 2026 Kalie Robins, a Utah travel creator, posted a short Instagram video of herself singing in the car with one of her daughters; it was also shown on Facebook. The next day she noticed Meta AI had placed suggested questions under the post, starting with 'Who's the child passenger?'. Clicking the prompts, she said, produced her two daughters' names, birth information, photos and videos drawn from her own and relatives' past posts, including a newborn photo from her mother's account and a picture she believed she had deleted years earlier, and a further prompt, 'Where does Kalie Robins live?', assembled older and newer posts into her likely location. Her 2 September reaction video drew more than 310,000 likes. Meta told reporters the prompts 'missed the mark', 'should never have been generated' and had been fixed, while saying the feature only surfaces information the user can already access; it disputed that a long-deleted photo was used, saying the photo had been deleted shortly before the video and remained briefly visible through a bug. Robins said Meta never contacted her and that the episode left her feeling she had 'failed' her children.

Contextual tracker case Low reported severity Involving minors Internal Action

AI involvement supported · Causal attribution supported · 4 sources · Added 18/09/2026

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