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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 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

In this selection

Published cases
4
Countries with reported events
1
Located 4 of 4 cases · 0 unknown
Languages in checked sources
1
Recorded for 4 of 4 cases

2 cases have no reviewed AI-to-person relation yet: 1 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.

Reported severity CriticalHighMedium
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4 of 560 published cases

29 Jun 2023United StatesTesla Autopilot (reported)

Washington state lawsuit alleges that a 2023 Tesla Model X stopped at a red light accelerated on its own in June 2023, injuring the driver and a minor passenger, and that Tesla's Autopilot technology was responsible

A product-liability complaint against Tesla, filed in King County Superior Court in Washington in June 2026 and removed to federal court on 23 September 2026, alleges that on 29 June 2023 a 2023 Model X that its driver had brought to a stop at a red light accelerated on its own with extreme force, went through the light into the intersection and struck a curb, bursting its tires. The complaint, as reported by AboutLawsuits on 1 October 2026, alleges that Tesla's Autopilot technology acted without command, failed to respond to the red light and prevented the driver from braking or steering to safety. It says the driver was injured and that a minor passenger was injured and has needed treatment. The plaintiffs allege that Tesla knew of the danger and overstated the technology's capabilities, and they seek compensatory and punitive damages. These are the plaintiffs' allegations. The complaint does not say in terms that Autopilot was engaged at the light, and no response from Tesla to the allegations was found in the sources read.

AI relation unknown Medium reported severity Lawsuit Ongoing

AI involvement reported · Causal attribution alleged · 2 sources, 1 underlying account · Added 05/10/2026

18 Aug 2025United StatesTesla FSD / Autopilot (reported)

Houston Cybertruck driver alleges FSD barrier crash caused injuries; Musk disputes system timing

A lawsuit reported by Electrek and Jalopnik alleges that a Houston Cybertruck driver was injured on 18 August 2025 when the vehicle headed into a freeway-overpass barrier while using FSD/Autopilot. She says she disengaged and grabbed the wheel too late to avoid impact; reported injuries include herniated discs and nerve symptoms. A later Tesla North report quotes Musk saying logs showed Autopilot had been disengaged four seconds before the crash. The petition, video and logs were not independently inspected, and the system's causal role remains disputed.

Core concern High reported severity

AI involvement disputed · Causal attribution disputed · 3 sources, 2 underlying accounts · Added 30/09/2026

19 Jun 2026United StatesTesla Full Self-Driving

Katy, Texas: Tesla Model 3 with Full Self-Driving (Supervised) engaged crashes into a home and kills a 76-year-old woman, and NTSB preliminary data indicate the driver overrode the system with the accelerator

At about 8:03 p.m. on 19 June 2026 a 2025 Tesla Model 3 left a residential street in Katy, Texas, and crashed into a house at more than 70 mph. A 76-year-old woman inside the house died and the driver sustained minor injuries. The driver told deputies and first responders that the car was on Autopilot or in self-driving mode. The NTSB preliminary information (15 July 2026) states that the driver had engaged Full Self-Driving (Supervised) and that data recovered from the vehicle indicated the driver manually overrode it by pressing the accelerator pedal to 100% before the crash. A Tesla vice president said the same in a post on X on 22 June. The Harris County Sheriff's Office arrested the driver and charged the driver with manslaughter (reported 2 July), and the affidavit alleges the driver accelerated to an excessive speed, did not brake, and that investigators found no mechanical malfunction. The victim's family sued Tesla and the driver, alleging that Autopilot and Full Self-Driving were defective and that the car either failed to detect the end of the street or experienced sudden unintended acceleration, and the lawsuit alleges that another person in the home was injured. The NTSB has not determined a probable cause and NHTSA opened a special crash investigation. Whether the driver-assistance system contributed to the crash is disputed.

Core concern Critical reported severity

AI involvement disputed · Causal attribution disputed · 11 sources, 6 underlying accounts · Added 29/09/2026

1 Jan 2025United StatesChatGPT

Las Vegas Tesla Cybertruck Bombing (ChatGPT-Assisted)

U.S. Army Special Forces soldier Matthew Livelsberger used ChatGPT to research explosive construction, detonation mechanics, and legal circumvention methods before bombing a Tesla Cybertruck outside Trump International Hotel in Las Vegas on New Year's Day 2025, killing himself and injuring seven others.

AI relation under review Critical reported severity Media Coverage

Legacy assessment: verified · Causal attribution established · Added 22/01/2026

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: 05/10/2026. Dataset available under CC BY 4.0.