Incidents gathered from public reporting around the world. Each one links to the articles it came from. None of it is a finding that anyone broke the law.
Reports people file about their own experience are not shown here and never will be without their agreement. Tell us what happened to you.
116 incidents closest to “Respondus 4” · matched on meaning · public reporting
The AI-generated hallucinated citations in an expert report led to the exclusion of the expert and dismissal of the plaintiff's case.
1 source article · read the reporting →
A developer known as User101 shut down the Userviz cheat after Activision requested that he stop developing it. The software used computer vision and machine learning to automate aiming in games such as Call of Duty: Warzone, and was marketed as undetectable. It was never published, and the developer said his intention was not to do anything illegal.
7 source articles · read the reporting →
Two Danish students scraped and published data on 70,000 OkCupid users, including sensitive sexual preferences and religious views, without anonymisation. The dataset was removed after OkCupid filed a copyright notice. The Danish Data Protection Authority (Datatilsynet) has launched an investigation into the incident.
10 source articles · read the reporting →
The Tow Center for Digital Journalism tested ChatGPT Search with 200 block quotes from 20 publishers and found 153 partially or fully incorrect citations. The chatbot often conjured responses when it could not access content, sometimes citing plagiarized or syndicated versions. OpenAI responded that the study was atypical and that it supports publishers with clear links and attribution.
6 source articles · read the reporting →
A company's applicant tracking system (ATS) auto-rejected qualified candidates' resumes for three months because it was filtering for the outdated framework AngularJS instead of the required Angular framework. The manager discovered the flaw by submitting his own CV under a pseudonym and found it was rejected within seconds. After the manager reported the issue to upper management, the company investigated and dismissed half of its HR team. No legal action or regulatory involvement is reported.
4 source articles · read the reporting →
Answer.AI's team tested Devin, an autonomous AI coding assistant, on 20 real-world tasks over a month. Devin succeeded in only 3 tasks, failed 14, and was inconclusive in 3. The team found Devin often produced overly complex or hallucinated solutions and could not recognize fundamental blockers. They ultimately decided to stick with tools that allow more human control.
5 source articles · read the reporting →
LINAGORA, a French open-source software company, launched a beta version of its large language model Lucie 7B. The model was intended to be a transparent and ethical alternative to big tech AI. However, after users tested it and highlighted its shortcomings, the model was mocked online. LINAGORA subsequently closed the platform to address the issues and collect more data.
6 source articles · read the reporting →
A study by Purdue University found that ChatGPT provided incorrect answers to over half of 517 software development questions from Stack Overflow. Despite the errors, 34% of users preferred ChatGPT's answers over human responses. The study warns that relying on ChatGPT for coding could jeopardize programmers' professional reputations.
9 source articles · read the reporting →
Researchers at ETH Zurich conducted a study where nine large language models, including GPT-4, analysed Reddit users' posts and inferred personal attributes such as age, location, gender, and income with up to 85% accuracy. The study randomly selected 520 users and found that GPT-4 was most accurate, while LlaMA-2-7b was least. The researchers warn that people unknowingly reveal personal information online that LLMs can exploit.
4 source articles · read the reporting →
Promptfoo tested DeepSeek-R1 against a dataset of 1,360 politically sensitive prompts and found that about 85% of them were refused. The refusals followed a standard form aligned with Chinese Communist Party policy. The testing also demonstrated that the censorship could be trivially bypassed using simple jailbreak techniques, such as prompt injection or changing the context.
5 source articles · read the reporting →
A study published in npj Digital Medicine tested four commercial large language models (Bard, ChatGPT, GPT-4, and Claude) for their tendency to propagate discredited race-based medical beliefs. When asked about kidney function, lung capacity, and skin thickness, the models sometimes endorsed debunked racial differences, particularly affecting Black patients. The study concludes that these biases pose a potential hazard and urges caution before using such models in clinical decision-making.
6 source articles · read the reporting →
The New York City Department of Education blocked access to the AI chatbot ChatGPT on school devices and networks, citing concerns about negative impacts on student learning and the safety and accuracy of content. The ban applies to all students and teachers on education department devices and internet networks. Individual schools can still request access for studying the technology. The move is the nation's largest school system's response to the arrival of ChatGPT.
9 source articles · read the reporting →
Researchers at the University of Illinois Urbana-Champaign demonstrated that LLM-powered agents, particularly OpenAI's GPT-4, can autonomously hack vulnerable websites. In sandboxed tests, GPT-4 achieved a 73.3% success rate across five attempts on 15 vulnerabilities, while open-source models failed. The researchers used the OpenAI Assistants API, LangChain, and Playwright to enable the agents to interact with websites. The study highlights the potential for AI agents to be used in cyberattacks, with cost estimates suggesting they could be cheaper than human penetration testers.
4 source articles · read the reporting →
A study found that commercial AI chatbots, including OpenAI's GPT-4 and GPT-3.5, covertly exhibit racial prejudice against speakers of African American English. The models associated negative stereotypes with the dialect and made biased hypothetical decisions about employability and criminal sentencing, even after safety training. OpenAI did not respond to requests for comment.
10 source articles · read the reporting →
A petition at the University of Illinois at Urbana-Champaign (UIUC) alleges that Proctorio, an online exam proctoring system, violates student privacy by accessing websites, downloads, screen content, and app settings. The petition claims the terms of service allow monitoring by 'any other means necessary', which students find unsettling. The petition, created on September 30, 2020, gathered 1,087 supporters but does not report any specific incident of harm. It calls on UIUC to discontinue use of Proctorio in favour of alternatives.
9 source articles · read the reporting →
Bloomberg News conducted an experiment using GPT-3.5 and GPT-4 to rank equally qualified resumes with names associated with different races and genders. The test found that resumes with names distinct to Black Americans were least likely to be ranked as top candidates, indicating systematic bias. OpenAI responded that businesses can mitigate bias through fine-tuning and that it prohibits using GPT for automated hiring decisions.
5 source articles · read the reporting →
The State Bar of California admitted that it used artificial intelligence to develop multiple-choice questions for the February 2025 bar exam. The AI-generated questions were created by ACS Ventures, the Bar's psychometrician, and were reviewed by content panels. Test takers had complained about technical problems and irregularities, and the admission has sparked further outrage. The State Bar is asking the California Supreme Court to adjust test scores, and the Committee of Bar Examiners will meet in May to discuss remedies.
7 source articles · read the reporting →
A study published in the International Journal of Educational Technology in Higher Education surveyed hundreds of university students in Pakistan and found that those who relied more on ChatGPT reported increased procrastination, memory loss, and lower GPAs. The researchers attribute this to the chatbot making schoolwork too easy, reducing students' cognitive effort. The study's lead author warned of a "dark side" to excessive generative AI usage.
4 source articles · read the reporting →
According to a new paper on arXiv, researchers have begun using generative AI services to help write peer reviews of machine learning papers submitted to leading AI conferences. The study analysed reviews from ICLR 2024, NeurIPS 2023, CoRL 2023 and EMNLP 2023 and estimated that between 6.5% and 16.9% of review text may have been substantially modified by large language models. The authors argue that this risks depriving authors of diverse expert feedback and may skew reviews towards AI model biases. They have called for greater transparency about the use of LLMs in peer review.
9 source articles · read the reporting →
The Texas Education Agency will use an automated scoring engine to grade written answers on the 2023 STAAR tests, replacing thousands of human graders. The system uses natural language processing and will initially score all responses, with a quarter rescored by humans. Educators have expressed concerns about the system's fairness and the potential for errors, especially for creative or non-standard answers.
10 source articles · read the reporting →
A study by Stanford researchers found that seven popular AI text detectors wrongly flagged over half of essays written by non-native English speakers as AI-generated. The detectors assess text perplexity, and non-native speakers' simpler word choices lead to false positives. The researchers warn that this bias could have serious implications for students and job applicants, potentially leading to discrimination.
9 source articles · read the reporting →
Baltimore City Public Schools uses GoGuardian Beacon software to monitor student laptops for signs of suicide. Since March 2021, the system has flagged 786 alerts, with nine students taken to emergency rooms. Privacy advocates warn the monitoring could lead to disciplinary actions, outing of LGBTQ students, and disproportionately affect disadvantaged students. School officials defend the practice as a safeguard.
10 source articles · read the reporting →
The Danish anti-piracy group Rights Alliance sent a DMCA takedown request to The Eye, which hosted the Books3 dataset containing 196,640 copyrighted books. The dataset was used by Meta to train its LLaMA language model. Authors including Sarah Silverman have filed a class action lawsuit against Meta for using their works without permission. The dataset has been taken offline, but copies remain available.
10 source articles · read the reporting →
In March 2014, Duke University researchers recorded thousands of students walking to class on campus without their knowledge or proper consent, creating the DukeMTMC dataset of over 2 million image frames. The dataset was placed on a public website and downloaded by academics, security contractors, and military researchers globally, including Chinese companies and military academies linked to surveillance of ethnic minorities. The university took down the public website in April 2019 after an Institutional Review Board investigation found the study deviated significantly from the approved protocol. The lead researcher apologized, stating he took full responsibility for his mistakes.
10 source articles · read the reporting →
