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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
3
Located 3 of 3 cases · 0 unknown
Languages in checked sources
2
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.

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3 of 1101 published cases

23 Feb 2024United KingdomMetropolitan Police live facial recognition

London: Met Police live facial recognition wrongly matched a man to his watchlisted brother; officers stopped him and he later received a settlement

On 23 February 2024 Shaun Thompson, a London community volunteer whom the 2026 judgment describes as 39, walked past a Metropolitan Police live facial recognition deployment near London Bridge station. The High Court records as not in dispute that the system detected a high level of facial similarity between images of him and the watchlist image of his brother, who was the subject of an outstanding arrest warrant, and generated an alert. According to the court's account, officers stopped, detained and questioned him and made him prove his identity, and when he declined to have his fingerprints taken he was threatened with arrest; he says the experience left him angry and distressed. Officers ended the engagement after checking police records about his brother, and he confirmed his identity with a passport photograph on his phone. Big Brother Watch, whose director was his co-claimant, says he was held for almost 30 minutes despite showing several identity documents. His judicial review claim about the stop, issued in May 2024, was withdrawn under a consent order agreed on 18 December 2024 on terms including a settlement sum paid to him. An amended challenge to the Met's revised live facial recognition policy of September 2024, brought with Big Brother Watch's director, was dismissed by the Divisional Court on 21 April 2026; the court said it was not judging the merits of the technology, and the claimants announced plans to appeal.

Contextual tracker case Medium reported severity Lawsuit Dismissed

AI involvement supported · Causal attribution established · 4 sources, 3 underlying accounts · Added 26/10/2026

13 Apr 2024BrazilUnidentified facial recognition system

Aracaju (Brazil): facial recognition falsely matched a football fan to a wanted man; police led him from the stands and the state suspended the system

During the half-time interval of the Sergipe state football championship final at the Batistão stadium in Aracaju on 13 April 2024, military police took a personal trainer from the stands to a police room after the stadium's facial recognition system flagged him as a man with an open arrest warrant; he was searched and questioned and released once police confirmed he was not the person sought (G1, his lawyer and the military police). Sergipe's governor publicly regretted 'the failure of the facial recognition tool' and suspended its use until a new protocol was adopted. In June 2024 the man sued the state for 550,000 reais in moral damages; the state argued that the Aracaju municipality, not the state, had contracted the system. In December 2025 the judge rejected that preliminary objection, according to Mangue Jornalismo, which read the court file. No final judgment is reported.

Contextual tracker case Medium reported severity Lawsuit Ongoing

AI involvement reported · Causal attribution supported · 3 sources, 2 underlying accounts · Added 24/10/2026

24 Jul 2026 to 26 Jul 2026IndiaUnidentified facial recognition system

Delhi: the police facial-recognition system logged at least 25 people who were in Tihar, Mandoli or Rohini jails as present at the Jantar Mantar student protests (20 to 26 July 2026), with timestamps on 24 to 26 July, on a sworn list of 2,873 persons with 'criminal antecedents' that the Supreme Court allowed police to register a fresh FIR against (Indian Express investigation, 4 September 2026)

In an affidavit of 17 August 2026 before the Supreme Court of India, Delhi Police said its Facial Recognition System (FRS) had identified 2,873 people with criminal antecedents at the Jantar Mantar protests of 20 to 26 July 2026 (2,402 through its 'Crime Kundli' biometric database and 471 through other criminal records). On 1 September the Court quashed the FIRs against the student protesters but let the police proceed against the 2,873; the police say any action will follow field verification. The Indian Express checked the 205 listed people facing murder, attempted-murder, rape or child-sexual-offence charges against police, prison and court records and found that at least 25 of them (17 accused of murder, four of rape (two or three under POCSO; the Express's narrative and its list differ), four of attempted murder) were lodged in Delhi's Tihar, Mandoli or Rohini prisons when the system logged them at the protest site with timestamps on 24, 25 and 26 July; some had been in custody for years. Delhi Police told the newspaper that further verification of the 2,873 was pending and, in its affidavit, that no action is taken solely on a facial-recognition result and that field verification follows each match. The police disclosed in 2022, in reply to a Right to Information request, that it treats a match with an 80 per cent similarity score as positive. Whether any of the 25 has since been named in the fresh FIR or visited for verification is not reported.

Contextual tracker case Medium reported severity Investigation Opened

AI involvement reported · Causal attribution supported · 4 sources, 2 underlying accounts · Added 24/09/2026

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