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®)
10 source articles · read the reporting →
Irish Government's Leaving Cert grading algorithm errors affect thousands of students
In 2020, the Irish government used an algorithm to calculate Leaving Certificate grades due to the pandemic. Coding errors resulted in over 6,000 students receiving lower grades than they should have, while nearly 8,000 received higher grades. The government asked third-level institutions to create extra places for affected students, but the situation remained unresolved. The incident highlighted broader concerns about algorithmic transparency and bias.
- Company involved
- Department of Education (Ireland)
- AI system involved
- Leaving Cert grading algorithm
2 source articles · read the reporting →
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 →
Boston Public Schools reverses algorithm-generated bus schedule after parent protest
In December 2017, Boston Public Schools announced new school start times and bus schedules generated by an algorithm designed by MIT researchers. Some parents, predominantly white, protested the changes, arguing they were unfair. The city reversed the decision after the protest, despite the algorithm's aim to improve equity and sleep health for the majority of students. The incident highlighted the lack of transparency in algorithmic decision-making.
- Company involved
- Boston Public Schools
10 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)
10 source articles · read the reporting →
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
10 source articles · read the reporting →
UIUC researchers use OpenAI API to automate phone scams for under a dollar
Researchers at the University of Illinois Urbana-Champaign used OpenAI's Realtime API to create AI agents that can autonomously execute phone scams. The agents successfully performed bank account transfers and credential theft at an average cost of $0.75 per scam. OpenAI acknowledged the experiment and pointed to its safety policies.
- Company involved
- University of Illinois Urbana-Champaign
- AI system involved
- GPT-4o Realtime API
6 source articles · read the reporting →
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
10 source articles · read the reporting →
Google AI Overviews provide inaccurate finance information in 43% of searches
A study by The College Investor found that Google's AI Overviews provided misleading or inaccurate information in 43% of 100 personal finance-related searches. The AI-generated answers included outdated tax rules and incorrect student loan repayment plan details. One user believed she could convert her 529 plan to a Roth IRA in California, which is not allowed. Google has not responded to requests for comment.
- Company involved
- Google
- AI system involved
- AI Overviews
3 source articles · read the reporting →
SQA exam algorithm disproportionately downgraded poorer pupils, report finds
The Scottish Qualifications Authority (SQA) used an algorithm to moderate 2020 exam results after COVID-19 cancelled exams. The algorithm disproportionately downgraded students from disadvantaged backgrounds, leading to a public outcry and a government U-turn. An independent report criticised the SQA and Scottish Government for failing to properly assess the equality impacts and for not making the algorithm available for analysis. The SQA has expressed no regret over the moderation approach.
- Company involved
- Scottish Qualifications Authority (SQA)
10 source articles · read the reporting →
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 →
ExamSoft failure during Michigan Bar Exam
On July 28, 2020, ExamSoft's software platform failed during the Michigan Bar Exam, preventing some test takers from completing the exam. ExamSoft posted a statement on X (formerly Twitter) with the hashtag #MichiganBarExam, but critics noted the company deleted and reposted the statement multiple times, allegedly to hide negative comments. The incident affected a group of examinees and caused disruption to their ability to take the exam.
- Company involved
- ExamSoft
- AI system involved
- ExamSoft platform
10 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 →
Cleveland State University's room scan requirement ruled unconstitutional
A federal judge ruled that Cleveland State University's requirement for a student to undergo a 360-degree room scan before an online exam was an unreasonable search under the Fourth Amendment. The student, enrolled at the public university, was told shortly before the exam that he would need to scan his private space. The court found that the university's justifications did not outweigh the privacy protections of the home. No final judgment or injunction has been issued yet.
- Company involved
- Cleveland State University
10 source articles · read the reporting →
UW-Madison disables Honorlock after skin tone recognition failure
The University of Wisconsin-Madison disabled the exam pause feature of its Honorlock anti-cheating software in March 2021 after three students complained that the software failed to recognize their darker skin tones and paused their exams. The software, used since online classes began, automatically pauses exams when it cannot detect facial features. Honorlock denied the issue was related to skin tone, attributing it to students looking away from their webcams. The university responded by disabling the feature.
- Company involved
- University of Wisconsin-Madison
- AI system involved
- Honorlock
10 source articles · read the reporting →
Wisconsin court used secret COMPAS algorithm to sentence Loomis to harsher term
In Loomis v. Wisconsin, a judge used a COMPAS risk score from Northpointe to sentence a defendant to a harsher punishment. The algorithm was kept secret as a trade secret, preventing the defendant from challenging its accuracy. The Wisconsin Supreme Court upheld the sentence, ruling that the score was only one part of the rationale. The case raises concerns about due process and the use of secret algorithms in criminal sentencing.
- Company involved
- State of Wisconsin
- AI system involved
- COMPAS
10 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 →
