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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
2
Located 2 of 2 cases · 0 unknown
Languages in checked sources
2
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 Low
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2 of 1029 published cases

2026FinlandUnidentified chatbot

Finnish youth chat service says young people abroad who said an AI recommended it sought help there and were redirected, leaving them disappointed

Helsingin Sanomat reported on 29 October 2026 that Netari, the online youth service of Pelastakaa Lapset (Save the Children Finland), has since summer 2026 received requests for help from young people around the world, and that some of them say they ended up at the service on an AI's recommendation. According to the organisation's psychosocial support expert, about 20 to 30 contacts from abroad have arrived since the summer, from countries including Uganda, Britain, India and Palestine; the messages are long and partly composed with AI, and describe violence, loneliness and long-standing problems. The expert says some of these young people live in families or communities where they experience violence and discrimination because of their identity, and some are very self-destructive. Netari's chat help is meant for young people living in Finland. The organisation has decided that young people living permanently abroad are directed straight to services in their own countries, and Netari has looked for such services for them; the expert says the young people have been clearly disappointed when redirected, and the organisation is concerned that some may be left without support. Working through these situations burdens duty staff and takes time from young people in Finland. The route by which every young person found the service is not known; some may have found it through search engines or social media, and the names of the AI services involved are not known. A University of Helsinki computer science professor considers it possible that the contacts relate to how AI is trained to answer requests for help, and calls this guesswork.

Core concern Low reported severity Media Coverage

AI involvement reported · Causal attribution alleged · 1 source · Added 30/10/2026

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: 30/10/2026. Dataset available under CC BY 4.0.