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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
1
Located 3 of 3 cases · 0 unknown
Languages in checked sources
1
Recorded for 3 of 3 cases

1 case has no reviewed AI-to-person relation yet: 1 not yet reviewed and 0 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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3 of 868 published cases

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

Dec 2025 to Aug 2026United StatesPega Voice AI (reported)

U.S. Bank customers allege in a class action that Pega Voice AI transcribed and analysed their customer-service calls without consent

Four U.S. Bank account holders in California, Massachusetts and Pennsylvania allege in a federal class action filed on 2 October 2026 that Pegasystems' Pega Voice AI, which they say U.S. Bank uses in its contact centres, transcribed their customer-service calls in real time, analysed them with natural language processing and generated suggestions to the agent, without their prior consent. They say they gave account numbers, a date of birth and a home address on the calls, made between about December 2025 and August 2026. The claims are allegations; The CourtListener index of the docket, checked on 21 October 2026, listed the summons as returned executed on 16 October and no response from Pegasystems.

Contextual tracker case Low reported severity Lawsuit Ongoing

AI involvement reported · Causal attribution alleged · 1 source · Added 21/10/2026

Aug 2017United StatesDraftKings and FanDuel apps

Pennsylvania: two men sued DraftKings (one also FanDuel) alleging that AI-driven personalization, targeted promotions and VIP handling fostered gambling addiction; they plead net losses of about US$81,000 and US$58,000, debt, family breakdown, depression and, in one case, suicidal ideation

Christopher Evans (Philadelphia; complaint filed 24 July 2026 in the Philadelphia Court of Common Pleas) and Michael Santos (Coatesville, Chester County; complaint filed 29 July 2026 in the Chester County Court of Common Pleas) sued DraftKings and its Pennsylvania affiliate; Santos also sued FanDuel and its parents. Both product-liability complaints, filed by the same law firm, allege that the defendants' sports-betting, daily-fantasy and casino apps are designed to addict, and that the companies 'utilize the combination of advanced technology and artificial intelligence paired with the tracking of personalized user data to intentionally addict users', operating 'AI-powered engagement platforms' (pleaded on information and belief) and, per DraftKings' 10-K as quoted, 'data science and machine learning' recommendation engines. Evans pleads that since about August 2017 he wagered over US$2.1 million with net losses of about US$81,000, received constant targeted promotions and personalised push notifications and a VIP account manager, developed depression and anxiety and was formally diagnosed with depression in 2020, stopped going outside, fell into debt, had his vehicle repossessed and separated from his wife. Santos pleads over US$1.164 million wagered on DraftKings with net losses of about US$58,000 plus small FanDuel losses, targeted advertising and a VIP manager who kept offering bonus bets after he said he wanted to stop, maxed-out credit cards, the forced sale of his house, diagnoses of depression and anxiety, suicidal ideation, and self-exclusion with the Pennsylvania Gaming Control Board in 2023. Both cases were removed to the U.S. District Court for the Eastern District of Pennsylvania on 16 September 2026 (2:26-cv-07168 and 2:26-cv-07176). The allegations are untested.

Contextual tracker case High reported severity Lawsuit Ongoing

AI involvement reported · Causal attribution alleged · 4 sources · Added 20/09/2026

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: 23/10/2026. Dataset available under CC BY 4.0.