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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
9
Countries with reported events
4
Located 9 of 9 cases · 0 unknown
Languages in checked sources
2
Recorded for 9 of 9 cases

1 case has no reviewed AI-to-person relation yet: 0 not yet reviewed and 1 reviewed as unknown. Show these 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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9 of 1101 published cases

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

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

Jul 2025United StatesAbridge (reported)

Class action alleges San Diego health system Sharp's Abridge AI scribe recorded a patient's exam-room visit without consent and charted false consent

A proposed class action filed in San Diego Superior Court in late 2025 alleges that Sharp HealthCare, which began using the AI documentation app Abridge in April 2025, recorded doctor-patient conversations without telling patients, sent the audio to the vendor's servers and used it to generate draft medical notes. According to the lawsuit as reported by KPBS, the named plaintiff discovered that a July appointment at a Sharp clinic had been recorded only when he read his medical notes; the clinic apologised, acknowledged the recording and told him the file could stay on the vendor's servers for about a month. The complaint also alleges that Abridge inserted statements into charts that patients had been advised of the recording and had consented, when the plaintiff says that never happened. It seeks damages, corrected medical records and an order against using the tool without consent, and estimates that more than 100,000 patients may have been recorded. Sharp told reporters it could not comment on pending litigation. The allegations have not been tested in court in the sources read.

Contextual tracker case Low reported severity Lawsuit Filed

AI involvement reported · Causal attribution alleged · 3 sources, 2 underlying accounts · Added 17/10/2026

2025United StatesNiCE workforce management

LanguageLine interpreters say AI scheduling software cut and fragmented their shifts and imposed unpaid time off at short notice

Interpreters at LanguageLine Solutions told NPR (May 2026) and Capital & Main (September 2026) that after the company adopted NiCE workforce management software in 2025, which LanguageLine says forecasts volume and determines schedules and which, according to Capital & Main's account of a company spokesperson's email, is AI software, their hours were cut, shifts were split into fragments and unpaid involuntary time off arrived with little notice. NPR reports that one interpreter's LanguageLine income fell 18% from 2024 to 2025. LanguageLine attributes the disruption mainly to lower demand, acknowledged that schedules had been more unpredictable than normal, and says operations are back to normal.

Contextual tracker case Medium reported severity Media Coverage

AI involvement reported · Causal attribution disputed · 2 sources · Added 14/10/2026

2 Aug 2020United StatesUnidentified license plate reader

Aurora, Colorado: police held a woman and four children at gunpoint in 2020 after a plate reader matched her SUV to a stolen motorcycle, The Denver Post reports

On 2 August 2020 Aurora police officers stopped an SUV they believed to be stolen, ordered the woman driving it and four children to lie on the ground at gunpoint, and handcuffed two of the children. The Denver Post reported that a license plate reader at an Aurora intersection had alerted police because the SUV had the same plate number as a stolen motorcycle from Montana, and that officers did not check the reading or the vehicle description. Prosecutors declined to charge the officers in January 2021 and called what happened unacceptable and preventable. The department said all officers were repeating training on license plate scanners. Sentinel Colorado reported that the department's system had flagged the SUV, which carried Colorado plates, and that the City of Aurora agreed in February 2024 to a $1.9 million settlement with the woman and the children to resolve a lawsuit over the officers' actions. One officer was suspended for 160 hours. The woman said the stop destroyed her mentally and that one of the children became withdrawn.

Contextual tracker case Medium reported severity Involving minors Lawsuit Settled

AI involvement reported · Causal attribution supported · 2 sources · Added 05/10/2026

17 Sept 2023United StatesUnidentified facial recognition system

Reno casino's facial recognition wrongly matched a patron to a barred man and police jailed him for about eleven hours, his federal lawsuit alleges

Jason Killinger, a UPS truck driver, alleges in a federal civil-rights complaint filed in July 2025 that on 17 September 2023 the Peppermill Casino in Reno reported to police that its AI facial recognition software had identified him as a man barred from the casino months earlier. According to the complaint, casino security handcuffed him, and the responding Reno police officer, told the system had found a 100 percent match, did not examine his other identification and took him to jail as an unidentified person, where fingerprints confirmed who he was. The complaint says he was handcuffed for about four hours, starting in the casino security office, spent about eleven hours in police and jail custody, and was treated the next day for bruised wrists. According to the complaint, he was then charged with trespassing, and a prosecutor dismissed the charge without prejudice at the bench trial. Casino.org reports that he settled a suit against the casino. In March 2026 the court let him add the City of Reno and a municipal liability claim over facial recognition policies, but refused a new wrongful arrest claim against the officer on qualified immunity grounds. In September 2026 the ACLU, the ACLU of Nevada and the Innocence Project filed a proposed amicus brief supporting him. His September 2026 motion for partial summary judgment says a Reno police detective later concluded that the match was wrong and that he and the barred man were different people, and it cites a declaration by a former casino security officer, who worked there from about October 2024, that the system often alerted at 100 percent on the wrong people; in a declaration reported by Casino.org, the officer said he had never known the system to misidentify anyone. The case is ongoing.

Contextual tracker case Medium reported severity Lawsuit Ongoing

AI involvement reported · Causal attribution alleged · 9 sources, 3 underlying accounts · Added 04/10/2026

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

Apr 2025United StatesUnidentified facial recognition system

New York: man misidentified through facial recognition in an indecent exposure case arrested and jailed two days

Reporting from August 2025 says an NYPD facial recognition search of images from a February 2025 indecent exposure in Manhattan's Union Square produced a possible match to a man who did not fit the described suspect. The man was placed in a photo lineup, arrested in April 2025 and jailed for two days. Prosecutors dismissed the case in July 2025 after his public defenders showed he was misidentified. The man says the process of becoming a correctional officer 'kind of' froze after the arrest. The NYPD says it never arrests solely on a facial recognition match.

Contextual tracker case Medium reported severity

AI involvement reported · Causal attribution alleged · 3 sources · Added 29/09/2026

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.