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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
10
Countries with reported events
3
Located 7 of 10 cases · 3 unknown
Languages in checked sources
1
Recorded for 10 of 10 cases

26 cases have no reviewed AI-to-person relation yet: 0 not yet reviewed and 26 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 MediumLow
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10 of 1101 published cases

2021United StatesNetradyne cameras

Amazon delivery drivers say Netradyne AI cameras in their vans flagged driving 'events' they did not commit, lowering the weekly scores that set bonuses

In September 2021 Motherboard reported accounts from six Amazon delivery drivers in five US states and the owner of an Amazon delivery company, who said the AI-powered Netradyne cameras Amazon had installed in its delivery vans from early 2021 regularly registered driving 'events' that were beyond their control or were not unsafe driving: being cut off by another car, glancing at a side mirror, stopping past a stop sign to see around a bush, or a stop sign flagged on a dirt road with no sign. Each event fed a weekly safe-driving score that, according to the drivers and an internal Amazon document Motherboard obtained, helped decide drivers' bonuses and prizes and delivery companies' bonuses. A driver in Los Angeles said the camera incorrectly penalised him and that requests to see the photos flagged as events went unanswered; a former driver in Texas said events that did not happen affected his score, which decided prizes from his delivery company. Amazon said the technology gives drivers real-time safety alerts, that accidents and violations had fallen since it was installed, and that its staff manually review appealed events so that erroneous ones do not affect drivers. Netradyne did not respond to Motherboard.

Contextual tracker case Low reported severity

AI involvement reported · Causal attribution alleged · 1 source · Added 27/10/2026

Event date unknownAustraliaUnidentified AI checkout camera monitoring system

Australian supermarket cashier got final written warning after AI checkout camera system flagged scanning errors, union submission says

The Shop, Distributive and Allied Employees' Association (SDA), an Australian union representing retail, warehouse and fast-food workers, told the federal parliament's Joint Select Committee on Artificial Intelligence in its written submission that a supermarket employee with more than 30 years' service had recently received a final written warning for scanning inaccuracy generated by an AI checkout monitoring system. According to the union, the system uses overhead cameras to compare items moved through the checkout with items scanned and automatically flags possible mismatches, which set off escalation to head office and pressure on store managers to act. The SDA says her error rate was about 0.18 per cent, roughly one error in 533 items scanned, and that she was never told what standard the system applied. The Sydney Morning Herald (10 October 2026) and Guardian Australia (20 October 2026) reported the case; the Herald says the union has challenged the warning. The account is the union's; the supermarket is not named, and its response and the result of the challenge are not reported.

Contextual tracker case Low reported severity

AI involvement reported · Causal attribution alleged · 3 sources, 1 underlying account · Added 24/10/2026

2020Event location unknownHireVue

Three MAC make-up artists say an algorithm-marked HireVue video interview led to their redundancy; Estée Lauder settled their claims

City AM and Cosmetics Business reported in March 2022, relaying the BBC Three documentary Computer Says No and the Times, that three make-up artists at MAC, an Estée Lauder Companies brand, lost their jobs in a 2020 redundancy process after being told to reapply for their roles through a video interview run by HireVue and marked by an algorithm. City AM reports that they were made redundant partly as a result of the automated judgement. The women said no one could explain how they had been scored, and one said nobody watched the video. Estée Lauder settled their claims out of court; the amount was not disclosed. The company says staff were told in advance about the HireVue skills assessment, that the process was used in tandem with human decision-making, that facial recognition made up about 0.25% of the overall assessment and performance data and qualitative feedback most of it, and that any suggestion facial recognition played a decisive role is false. HireVue said its video-analysis component had been discontinued about two years earlier. How much the HireVue score weighed in each decision is not reported.

Contextual tracker case Medium reported severity

AI involvement reported · Causal attribution disputed · 2 sources, 1 underlying account · Added 22/10/2026

2026United KingdomUnidentified AI teaching-monitoring agent

Teachers at UK training firm Multiverse say AI rating of their online lessons caused severe stress and led managers to question them

The Guardian reported on 28 September 2026 that teachers at Multiverse, a UK company that delivers apprenticeship training in computer and AI skills, said an AI monitoring system introduced in recent weeks had caused them severe stress. According to the report, the system analyses and scores transcripts of teachers' online classroom sessions, tags each instructor with a risk status and a percentage confidence score, writes comments on their work and alerts managers when it suspects something is wrong. Teachers who spoke to the Guardian anonymously said the AI monitoring had led managers to pull them up for suspected digressions when they were answering students' questions, that they now felt under continuous scrutiny for several hours a day, and that some staff were on edge, losing sleep and seeking therapy. Multiverse said the AI does not replace human judgment, that only human managers write performance reviews, that the system's most consequential action is to recommend a human review of a session, and that its introduction was announced in advance; it did not directly address the complaints about stress. The accounts are the teachers', relayed by one newspaper.

Contextual tracker case Low reported severity

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

2026Event location unknownClaude (reported)

First-person post: product team worker says manager ordered repeated rework and wrong product documentation on Claude reviews the worker calls hallucinated

In a Reddit post on 20 October 2026, an associate product manager at a privately owned e-commerce business writes that a new manager, who joined about three months earlier, connected Claude to the company's content management system and Asana and now has every piece of the poster's work reviewed by it. The poster says Claude keeps hallucinating problems that are not there, that the manager does not check the work or read the team's comments, and that the poster has had to redo 500 SKUs and has redone an SKU task five times, so that a task that used to take three days has taken two weeks. The poster also says the manager wants the knowledge base and product pages changed to match Claude's account of the company's own products, which the poster says is wrong because the information comes from the manufacturers. The post does not quote Claude's output, and the manager's account is not recorded. The account is uncorroborated.

Contextual tracker case Low reported severity

AI involvement reported · Causal attribution alleged · 2 sources, 1 underlying account · Added 21/10/2026

2023Event location unknownChatGPT (reported)

First-person posts: person hired for documentation and marketing copy says employer rejected their work daily because ChatGPT called it poor, then fired them

In three linked Bluesky posts on 18 October 2026, written in answer to another user's call for stories of short job tenures, a person writes that a man hired them on the strength of years of experience to work on his company's documentation and public-facing marketing copy, and that he then rejected their work day after day because ChatGPT had told him it was not good. The poster attributes ChatGPT's verdicts to hallucinated errors. The poster says that after they told him and the marketing manager at a Friday meeting that this could not continue and that they would leave unless their skills and experience were respected, they were out by Monday morning, fired by email, and that he had paid them for two months of work upfront. The poster dates the events to 2023. The posts do not quote ChatGPT's output or say how the poster knew what it said, and the employer's account is not recorded. The account is uncorroborated.

Contextual tracker case Low reported severity

AI involvement reported · Causal attribution alleged · 3 sources, 1 underlying account · Added 19/10/2026

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

Event date unknownUnited StatesTimpani

US: HCA nurses tell WIRED its AI scheduling tool overrode their shift requests and scheduled them on requested days off; one delayed a medical appointment

Nurses at HCA Healthcare, the largest US hospital chain, told WIRED, in an article published on 2 October 2026, that Timpani, an AI scheduling tool HCA co-developed with Palantir and has rolled out at about 130 of its 190 locations, assigns shifts that ignore their requests. A Florida critical care nurse said that over four months the tool gave her different shifts for more than half of the 50 she requested, often back-to-back days that left her mentally drained. A Missouri nurse said essentially every nurse at their facility had been assigned to work on a requested day off, and that they delayed a long-planned doctor's appointment for a chronic condition after struggling to trade such a day. HCA says nursing leaders, not Timpani, make final scheduling decisions and that the tool schedules nurses on about 1 percent of requested days off.

Contextual tracker case Low reported severity Media Coverage

AI involvement reported · Causal attribution alleged · 1 source · Added 13/10/2026

6 Oct 2026United StatesUnidentified AI drafting tool (suspected)

Arizona federal court dismisses a Title VII complaint it says appears AI-generated and bars the plaintiff from using AI to draft the amended complaint

On 6 October 2026 a judge of the US District Court for the District of Arizona dismissed a 67-page, 199-paragraph workplace complaint filed on 11 September 2026, saying it appeared to have been generated by artificial intelligence because it resembled other AI-generated complaints the court had encountered. The court dismissed it as a shotgun pleading that did not give the defendant or the court sufficient notice of the claims, which it said shifted between Title VII retaliation, hostile work environment and retaliatory hostile work environment. It granted leave to file an amended complaint of no more than 25 pages by 19 October 2026, prohibited the plaintiff from using AI to draft it and directed entry of a judgment of dismissal with prejudice if no amended complaint is filed. The order does not establish who drafted the complaint or name any AI tool.

Contextual tracker case Low reported severity Lawsuit Dismissed

AI involvement suspected · Causal attribution alleged · 1 source · Added 12/10/2026

29 Jan 2025United StatesSnapchat 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 Medium reported severity Criminal Charges

AI involvement supported · Causal attribution supported · 4 sources, 3 underlying accounts · 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: 11/11/2026. Dataset available under CC BY 4.0.