Airbnb smart-pricing algorithm increased racial revenue gap, study finds
A study by Carnegie Mellon University found that Airbnb's smart-pricing algorithm increased the revenue gap between White and Black hosts, even though it narrowed the gap among hosts who adopted it. The algorithm, which sets daily prices automatically, was adopted by fewer Black hosts, so its suggested prices were closer to the optimum for White hosts. The researchers said the tool could reduce racial disparities only if more Black hosts adopted it.
- Company involved
- Airbnb
- AI system involved
- Airbnb smart-pricing algorithm
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PwC develops facial recognition tool to monitor employees working from home
Accounting giant PwC has developed a facial recognition tool that logs when employees are absent from their computer screens while working from home. The tool, intended for financial institutions, requires workers to provide written reasons for any absences, including toilet breaks. Commentators have criticised the tool as a huge invasion of privacy, with concerns about damage to trust and increased stress. PwC stated that the technology is designed to help regulated institutions meet compliance obligations and that voluntary consent of traders is essential.
- Company involved
- PwC
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USPS algorithm RRECS causes pay cuts for two-thirds of rural mail carriers
The United States Postal Service (USPS) implemented a new algorithm, RRECS, to evaluate rural carrier routes and determine pay. Due to flaws in how carriers scanned packages, the algorithm underestimated route times, resulting in pay cuts for 66 per cent of rural carriers, some losing thousands of dollars annually. Carriers report that they were not adequately trained on the system and that the cuts are scheduled to take effect, though they have been postponed multiple times. The USPS stated that the system is the result of a nationally negotiated agreement.
- Company involved
- United States Postal Service
- AI system involved
- RRECS
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Userviz machine-learning aimbot shut down after Activision request
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.
- Company involved
- User101
- AI system involved
- Userviz
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Stanford takes down Alpaca AI demo over safety and cost concerns
Stanford University took down the web demo of its Alpaca AI language model due to safety and cost concerns. The model, based on Meta's LLaMA, was fine-tuned to follow instructions but could generate misinformation and toxic text. Researchers decided to remove the demo after it became publicly accessible, citing inadequate content filters and rising hosting costs.
- Company involved
- Stanford University
- AI system involved
- Alpaca
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DCPS used allegedly false test scores in teacher value-added evaluations
The District of Columbia Public Schools used student test scores from schools under investigation for cheating in value-added calculations for teacher evaluations. More than 200 teachers were terminated based on these evaluations. Teachers can appeal their ratings to the chancellor, but decisions will not be made before the next school year. The school system removes affected scores only when cheating is confirmed.
- Company involved
- District of Columbia Public Schools
- AI system involved
- value-added model
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South Korea's AI textbook program rolled back after complaints
South Korea's Ministry of Education launched AI-powered digital textbooks in March 2025 for math, English, and computer science. Students, teachers, and parents complained about technical problems, inaccuracies, and data privacy risks. After four months, the textbooks were stripped of official status and made optional. The program was criticized for being rushed and insufficiently tested.
- Company involved
- South Korean Ministry of Education
- AI system involved
- AI-powered textbooks
7 source articles · read the reporting →
Beus Gilbert PLLC v. Brigham Young University et al. (D. Utah): AI-hallucinated content in court filing, Two AI-ethics CLE courses;…
The AI system generated fake legal citations that were included in a court filing, misleading the court and opposing counsel.
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ChatGPT water consumption study warns of environmental impact
A study from the University of Colorado Riverside and the University of Texas Arlington estimates that OpenAI's ChatGPT consumes a 500ml bottle of fresh water for every 20 to 50 questions. The water is used to cool data center servers. The study urges companies to address their water footprint.
- Company involved
- OpenAI
- AI system involved
- ChatGPT
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Answer.AI tests Devin and reports 14 failures in 20 tasks
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.
- AI system involved
- Devin
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Purdue study finds ChatGPT wrong over half the time on software questions
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.
- Company involved
- OpenAI
- AI system involved
- ChatGPT
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ETH Zurich study shows LLMs can infer Reddit users' personal data
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.
- Company involved
- ETH Zurich
- AI system involved
- GPT-4, LlaMA-2-7b
4 source articles · read the reporting →
Presto Automation uses off-site human agents to double-check AI drive-thru orders
Presto Automation Inc, which markets an AI voice assistant for drive-thru ordering, used off-site human agents in countries including the Philippines to double-check orders in more than 70% of customer interactions, according to SEC filings reported by Bloomberg. The company told Bloomberg that the process helps train its system and should reduce human intervention over time. Presto's drive-thru AI is used in more than 400 restaurants, including Del Taco, Carl's Jr and Checkers, and its stock fell more than 10% after the reports.
- Company involved
- Presto Automation Inc.
8 source articles · read the reporting →
Study finds ChatGPT provides inaccurate drug information responses
A study presented at the ASHP Midyear Clinical Meeting found that ChatGPT's responses to nearly three-quarters of drug-related questions were incomplete or inaccurate. The AI system also generated fake citations to support some responses. Researchers warned that healthcare professionals and patients should verify ChatGPT's medication information using trusted sources to avoid potential harm.
- Company involved
- OpenAI
- AI system involved
- ChatGPT
8 source articles · read the reporting →
New York City Department of Education blocks ChatGPT on school devices
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.
- Company involved
- New York City Department of Education
- AI system involved
- ChatGPT
9 source articles · read the reporting →
UIUC students petition to stop Proctorio exam proctoring over privacy concerns
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.
- Company involved
- UIUC
- AI system involved
- Proctorio
9 source articles · read the reporting →
AI unmasks anonymous chess players, study warns of privacy risks
A study described in Science shows that software can identify people who play chess anonymously, revealing their identities. Researchers, including Alexandra Wood, say the work highlights a growing privacy threat. The article does not name the software or any specific victims.
5 source articles · read the reporting →
OpenAI's Operator AI spent $31 on a dozen eggs for a journalist
Geoffrey A. Fowler, a Washington Post columnist, asked OpenAI's Operator AI agent to find cheap eggs in his neighborhood. Instead, the AI autonomously ordered a dozen eggs for $31 and had them delivered. The incident highlights the AI's inability to follow cost-saving instructions, resulting in a financial loss for the user.
- Company involved
- OpenAI
- AI system involved
- Operator
3 source articles · read the reporting →
State Bar of California admits using AI to develop bar exam questions
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.
- Company involved
- State Bar of California
7 source articles · read the reporting →
Dutch government to refund over 10,000 students over discriminatory DUO fraud algorithm
The Dutch government has pledged to refund over 10,000 students who were unjustly flagged for student finance fraud by a discriminatory algorithm used by the Education Executive Agency (DUO). The algorithm, implemented in 2012, used criteria that disproportionately targeted students from immigrant backgrounds, particularly those of Turkish and Moroccan descent. Following investigations by the Dutch Data Protection Authority and an independent report by PwC, the algorithm was suspended in July 2023 and replaced with a random-sampling system. The government has allocated 61 million euro for refunds.
- Company involved
- Education Executive Agency (DUO)
- AI system involved
- DUO fraud detection system
9 source articles · read the reporting →
ChatGPT use linked to memory loss and procrastination in students
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.
- Company involved
- National University of Computer and Emerging Sciences
- AI system involved
- ChatGPT
4 source articles · read the reporting →
Study finds LLMs used in up to 16.9% of AI conference peer reviews
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 →
Texas uses AI to grade student STAAR test answers
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.
- Company involved
- Texas Education Agency
- AI system involved
- automated scoring engine
10 source articles · read the reporting →
Proctorio anti-cheating software failed to catch student cheaters in study
Researchers at the University of Twente in the Netherlands tested Proctorio, an anti-cheating software, by asking 30 computer science students to sit an exam while six of them cheated. Proctorio did not flag any of the cheaters and flagged some honest students for irregular behaviour. An independent human review caught only one of the six cheaters. Proctorio disputed the study's methodology and cited other research.
- Company involved
- Proctorio
- AI system involved
- Proctorio
5 source articles · read the reporting →
