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NOPE

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 is wider: it also records consequential decisions and claims about people. Each account is reviewed for publication; claims may remain uncorroborated or disputed. How we review and count cases

Explore incidents Our scope and evidence

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
0Core concern
AI communicated, acted for, depicted or impersonated 3Contextual cases
AI made a decision or claim about someone 0Unknown or pending relation
0 legacy rows pending · 0 explicitly unknown

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.

1cases with a recorded lawsuit outcome 0cases with a recorded regulatory response 0cases involving minors

Response counts currently use each case’s principal recorded outcome. Further proceedings may be described in its account.

When events happened

1 cases without a known event year

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.

1 20171 2025
Reported severity HighMedium
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3 of 174 published cases

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Aug 2017United StatesDraftKings' and FanDuel's sportsbook, daily-fantasy and online-casino apps and their alleged AI and machine-learning personalization, recommendation and engagement systems (as pleaded; the complaints quote DraftKings' 10-K on 'data science and machine learning' and 'recommendation engines')

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 Court filingCourt docket AI involvement: reported Causal attribution: alleged High reported severity Lawsuit Ongoing

Added 20/09/2026

Event date unknownUnited StatesFlock Safety automated license plate readers (San Jose Police Department camera network)

San Jose: police officer fired after passing Flock license-plate-reader location data to a relative accused of domestic violence, who used it to find his accuser

San Jose's police chief announced on 11 September 2026 that an officer had been fired after accessing the department's Flock Safety automated license-plate-reader data on his personal phone and giving a vehicle's location to his cousin, a suspect in a domestic-violence case, who used it to locate the woman accusing him. The chief called it 'a betrayal of the public trust', said the officer was placed on leave, criminally investigated and referred to the district attorney, and that the case was submitted to California's peace-officer standards commission for decertification; neither the officer nor the cousin has been charged. The department has since barred access to the system from personal devices and is testing auditing tools. Neither the victim nor the officer is named in the inspected reports.

Contextual tracker case Local tv news AI involvement: supported Causal attribution: supported Medium reported severity Internal Action

Added 16/09/2026

29 Jan 2025United StatesSnapchat automated content-flagging system

Washington, Illinois: Snapchat flagged a student teacher's private joke to the FBI; she was arrested at her school and lost her placement

On 29 January 2025, a 22-year-old student teacher at a District 50 elementary school in Washington, Illinois, vented in a private Snapchat group chat with her boyfriend and two roommates after a third-grade student turned off her computer mid lesson-plan, asking whether she should 'shoot the child or just the whole school' (per sheriff's reports). Snapchat's systems flagged the message and warned the FBI, which notified the Tazewell County Sheriff's Office at 1:06 p.m. Deputies interviewed her at the school, confirmed she sent it as a joke, searched her phone and belongings with her consent and found no weapons, and arrested her on a disorderly conduct charge; they concluded she had spoken out of 'exasperation' with no intent to harm and no threat to the school. The district told parents she would not return to complete her educational assignment.

Contextual tracker case News report foia recordsNews reportLocal tv newsContent farm rehash AI involvement: supported Causal attribution: supported Medium reported severity Criminal Charges

Added 15/09/2026

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: 22/09/2026. Dataset available under CC BY 4.0.