Houston teachers sue over secret EVAAS evaluation algorithm
Houston Independent School District used the SAS Institute's EVAAS system, a proprietary algorithm, to evaluate teacher performance based on student test scores. The Houston Federation of Teachers and several teachers sued in 2014, alleging the system violated their Fourteenth Amendment procedural due process rights because the algorithm is a trade secret and teachers cannot verify the accuracy of their scores. A federal magistrate judge refused to dismiss the procedural due process claims in May 2017, ruling that teachers must have an opportunity to test the accuracy of the scores that could cost them their jobs.
- Company involved
- Houston Independent School District
- AI system involved
- Educational Value-Added Assessment System (EVAAS)
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Teachers find no value in SAS EVAAS system in Southwest School District
A study examined the SAS Education Value-Added Assessment System (EVAAS®) used by the Southwest School District (SSD) to evaluate teacher effectiveness for high-stakes consequences. Teachers reported that the system produced inconsistent results, was biased by student factors, and reduced morale and collaboration. The study found that teachers did not use the data formatively as intended, and unintended consequences included heightened pressure and teaching to the test.
- Company involved
- Southwest School District (SSD)
- AI system involved
- SAS Education Value-Added Assessment System (EVAAS®)
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Hanoi students caught using AI to cheat in graduation exam
Two students in Hanoi used mobile phones to photograph questions from the national high school graduation exam and submitted them to AI apps like StudyX, Gemini, and ChatGPT for answers. Proctors detected the cheating, and the students were suspended. Hanoi police are investigating the incident, which has raised concerns about exam security and integrity. The students face disqualification and possible administrative or criminal penalties.
- AI system involved
- StudyX, Gemini, ChatGPT
2 source articles · read the reporting →
Texas A&M Professor Uses ChatGPT to Falsely Accuse Students of Cheating
Jared Mumm, an instructor at Texas A&M University–Commerce, used ChatGPT to check if students' writing was AI-generated, leading him to accuse them of using the chatbot. He informed students they would receive an incomplete grade and those deemed guilty would get a zero, causing distress and temporarily withholding one student's diploma. The university investigated and stated that no students failed or were barred from graduating, and the professor is working individually with students to resolve the issue.
- Company involved
- Texas A&M University–Commerce
- AI system involved
- ChatGPT
5 source articles · read the reporting →
Australian education ministers scrap NAPLAN robot marking
The Education Council decided not to use automated essay scoring for NAPLAN writing tests, dropping a proposal by ACARA to have computers mark English tasks. Teachers' unions had campaigned against the plan, and an academic warned that the software would reward verbose gibberish and could not assess creativity. The decision was made in December 2017 and announced in January 2018.
- Company involved
- Australian Curriculum, Assessment and Reporting Authority (ACARA)
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RealPage's YieldStar algorithm pushes rents higher for tenants
RealPage's YieldStar algorithm uses private competitor data to recommend rent increases for apartment units. Landlords adopt up to 90% of the suggestions, leading to higher rents for tenants. Critics allege the software may facilitate indirect price-fixing in violation of antitrust law. The company denies wrongdoing and says the software helps eliminate collusion.
- Company involved
- RealPage
- AI system involved
- YieldStar
10 source articles · read the reporting →
UDR Sued Over Alleged Use of RealPage Algorithm to Set Rents in San Diego
A class action lawsuit alleges that UDR, Inc. used RealPage's YieldStar algorithmic pricing software to set rental rates and occupancy levels for its San Diego properties, in violation of a local ordinance. The suit claims the software relied on nonpublic competitor data, contributing to inflated rents and making housing less affordable. The lawsuit, filed in July 2026, seeks to represent all affected tenants. UDR has previously acknowledged using YieldStar as one tool among others in its decision-making.
- Company involved
- UDR, Inc.
- AI system involved
- RealPage YieldStar
1 source article · read the reporting →
Educational Testing Service's E-rater algorithm biases essay scores against minority students
The Educational Testing Service's E-rater algorithm, used to grade essays on the GRE and other standardized tests, has been found to systematically give higher scores to students from mainland China and lower scores to African American students compared to human graders. The bias stems from the algorithm's reliance on surface-level metrics like vocabulary and sentence length, which disadvantage certain groups. Despite studies dating back to 1999, the bias persists, and in many states, only a small percentage of essays are reviewed by humans.
- Company involved
- Educational Testing Service
- AI system involved
- E-rater
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Shipt's new V2 algorithm reduces pay for 41% of workers, study finds
A study by MIT Media Lab and Coworker.org found that Shipt's new V2 payment algorithm reduced pay for 41% of workers by an average of 11% per shop. The algorithm, rolled out in September 2020, replaced a transparent payment system with a black-box model. Workers pooled data to analyze the impact, revealing uneven distribution of earnings.
- Company involved
- Shipt
- AI system involved
- V2
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Polish government suspends culture fund after algorithm grants millions to wealthy stars
The Polish government used an algorithm to allocate 400 million zloty in COVID-19 culture support funds. The algorithm awarded large sums to high-earning star performers, including 1.89 million zloty to a company managed by Paweł Golec. After public criticism, Culture Minister Piotr Gliński suspended the fund and announced a review. The government defended the algorithm, stating it was based on financial criteria and aimed to protect jobs.
- Company involved
- Polish Ministry of Culture and National Heritage
9 source articles · read the reporting →
UBC students raise concerns over Proctorio's privacy breach and discrimination
The University of British Columbia (UBC) uses Proctorio, an algorithmic test proctoring software, for remote exams. In June 2020, a UBC student reported an issue with Proctorio, and the company's CEO released the student's support chat logs, sparking privacy concerns. The AMS of UBC published an open letter alleging that Proctorio discriminates against students of colour, those with disabilities, and other groups by flagging 'abnormal' behaviours and denying access. The letter calls on UBC to end its contract with Proctorio and conduct an external audit.
- Company involved
- University of British Columbia
- AI system involved
- Proctorio
10 source articles · read the reporting →
Middle schooler beats Edgenuity grading algorithm to get perfect score
A seventh-grade student in the Los Angeles Unified School District received a failing grade on a history assignment graded by Edgenuity's automated scoring algorithm. With help from his mother, a history professor, he reverse-engineered the algorithm by writing a paragraph with relevant keywords and a jumble of words, earning a perfect score. The incident highlights concerns about the accuracy and fairness of automated grading systems in education.
- Company involved
- Los Angeles Unified School District
- AI system involved
- Edgenuity
10 source articles · read the reporting →
ProctorU data breach exposes 444,000 user records
ProctorU, an online exam proctoring service, confirmed a data breach after a threat actor leaked a database of user records on a hacker forum. The database contained email addresses, names, addresses, phone numbers, and hashed passwords for approximately 444,000 users, including students from universities such as UCLA, Princeton, and Harvard, as well as U.S. military members. ProctorU stated that the breach involved records from 2014 and that they are investigating the incident.
- Company involved
- ProctorU
- AI system involved
- ProctorU
8 source articles · read the reporting →
Proctortrack data breach exposed student data from online proctoring
Proctortrack, an online proctoring service used by universities, suffered a data breach in September 2020 when its source code was leaked online. An analysis by Consumer Reports found that the code contained hard-coded passwords and exposed the names and email addresses of over 150 students. The company acknowledged the leak but said no harm resulted. Students had been required to use the software, which performed facial recognition and recorded video during exams.
- Company involved
- Proctortrack
- AI system involved
- Proctortrack
10 source articles · read the reporting →
Student flagged by ProctorU for reading aloud during exam
A college student, Dana Jo, was flagged by ProctorU test proctoring software for talking during an exam, which she says was reading a question aloud. Her professor initially gave her a zero and placed an academic infraction on her record, jeopardizing her scholarships. After reviewing a video recording, the professor apologized, reinstated her grade, and removed the infraction. ProctorU's CEO stated that the incident highlights the importance of video recordings for review.
- Company involved
- University (not named)
- AI system involved
- ProctorU
5 source articles · read the reporting →
Wisconsin’s dropout prediction algorithm labels students high risk with racial bias
Wisconsin’s Dropout Early Warning System (DEWS) uses machine learning to predict middle school students' likelihood of graduating on time, relying on factors including race and income. The Markup found the algorithm frequently mislabels students, with a higher false alarm rate for Black and Hispanic students. The Wisconsin Department of Public Instruction has not informed schools of the racial disparities and continues to use the system.
- Company involved
- Wisconsin Department of Public Instruction
- AI system involved
- Dropout Early Warning System (DEWS)
10 source articles · read the reporting →
Nevada's AI grad score model cuts funding for low-income students
Nevada replaced its income-based school funding formula with a machine learning model developed by Infinite Campus that generates a 'grad score' for each student. The model reduced the number of students eligible for supplemental funding from 288,000 to 63,000, disproportionately affecting low-income students. Critics argue the model lacks transparency and de-emphasizes economic status, potentially leaving many high-poverty schools underfunded.
- Company involved
- Nevada Department of Education
- AI system involved
- Grad score model
7 source articles · read the reporting →
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
10 source articles · read the reporting →
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
10 source articles · read the reporting →
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
10 source articles · read the reporting →
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 →
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
5 source articles · read the reporting →
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
9 source articles · read the reporting →
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 →