Korean universities introduce anti-cheating measures after AI misconduct
Students at Korea University, Yonsei University, and Seoul National University allegedly used generative AI tools like ChatGPT to cheat on online exams and quizzes. Korea University voided a midterm exam and plans to implement randomized questions and monitoring software for the affected course. Yonsei University has AI use guidelines but acknowledges they are not enforceable, while Seoul National University held a retest for one class. Investigations are ongoing, and it remains unclear whether students will face disciplinary action.
- Company involved
- Korea University, Yonsei University, Seoul National University
- AI system involved
- ChatGPT
3 source articles · read the reporting →
Furman University student caught using ChatGPT to write essay
A student at Furman University allegedly used OpenAI's ChatGPT to generate an essay for an upper-level philosophy class. Professor Darren Hick detected the AI-generated text using the GPTZero detection tool. The incident highlights growing concerns about AI-assisted cheating in schools, with some districts like Los Angeles Unified blocking the chatbot.
- Company involved
- Furman University
- AI system involved
- ChatGPT
10 source articles · read the reporting →
15-Year-Old Test Exposes Flaw: ChatGPT for Teens Fails to Block Homework Cheating, Repeated Requests Bypass Restrictions
15歲使用者實測揭漏洞：青少年版ChatGPT難擋宿題代寫，反覆要求即破解 - BigGo 財經
A 15-year-old tester found that OpenAI's ChatGPT for Teens, launched in August, initially refused to write essays but generated full examples after repeated requests. It also immediately solved SAT-level math problems. Parental controls require account linking and are off by default, while experts warn the memory feature could lead to emotional attachment.
- Company involved
- OpenAI
- AI system involved
- ChatGPT for Teens
1 source article · read the reporting →
Resume prompt injection tricks AI hiring - moneywise.com
AI screening system determined which job applicants to advance to the next stage of recruitment.
1 source article · read the reporting →
Meazure Learning Agrees $1.35m California Bar Exam Class-Action Settlement - Lawyer Monthly
The exam software experienced technical failures that prevented candidates from logging in or completing the California bar exam.
- Company involved
- Meazure Learning
- AI system involved
- ProctorU
1 source article · read the reporting →
University of Illinois Ends Proctorio Contract Over Accessibility Concerns
The University of Illinois at Urbana-Champaign announced it will not renew its emergency contract with Proctorio, an online proctoring software, citing significant accessibility, privacy, and equity concerns. Students reported that the AI system unfairly flagged individuals with disabilities, nonwhite students, and those wearing headscarves as suspicious during exams. The decision follows student petitions and campaigns against the software, which they described as invasive spyware. The university is exploring alternative assessment methods.
- Company involved
- University of Illinois at Urbana-Champaign
- AI system involved
- Proctorio
6 source articles · read the reporting →
Sydney students resit NAPLAN after predictive text glitch
Year 5 students at Waverley College and Kambala in Sydney were required to resit their NAPLAN writing exams after a technical glitch enabled Apple's predictive text and spellcheck features during the test. The issue was discovered by a teacher and students, and the schools reported it to NESA and ACARA. The students were given a new prompt and completed the test the following Monday. An ACARA spokesman stated the problem was not widespread, with over 880,000 tests submitted successfully.
- Company involved
- ACARA
- AI system involved
- NAPLAN
2 source articles · read the reporting →
KPMG Australia partner fined over $10,000 for AI cheating on internal exams
More than two dozen KPMG Australia staff, including a partner, used artificial intelligence to cheat on internal exams since July. The partner will be fined more than $10,000 for using AI in a training course about AI. KPMG has upgraded its detection processes after previously tackling widespread cheating on internal tests between 2016 and 2020.
- Company involved
- KPMG Australia
2 source articles · read the reporting →
University of Texas at Austin Stops Using Biased Ph.D. Admissions Algorithm
The University of Texas at Austin's computer science department used a machine-learning system called GRADE from 2013 to 2020 to score Ph.D. applicants. Critics argued the system perpetuated bias by training on past admissions decisions and using features like institution prestige and biased language in recommendation letters. The department discontinued the system in 2020, citing maintenance difficulties, but the controversy highlighted concerns about algorithmic fairness in admissions. The system was never disclosed to applicants, and its impact on underrepresented groups remains unknown.
- Company involved
- University of Texas at Austin
- AI system involved
- GRADE
2 source articles · read the reporting →
California State Bar Flags Over 3,000 Online Bar Exam Takers for Possible Cheating
In October 2020, the California State Bar administered its first online bar exam using ExamSoft's AI-enabled proctoring software. The software flagged 3,190 out of 9,301 test takers for potential rule violations such as gazing off-screen or having food. The state bar is reviewing each case, which could require affected individuals to retake the exam, delaying their ability to practice law. Test takers have expressed distress and hired attorneys to contest the allegations.
- Company involved
- California State Bar
- AI system involved
- ExamSoft
2 source articles · read the reporting →
Ofqual algorithm downgrades 39% of A-level results, sparking crisis
In August 2020, the UK exam regulator Ofqual used an algorithm to determine A-level grades after exams were cancelled due to COVID-19. The algorithm downgraded approximately 39% of results, disproportionately affecting disadvantaged students from state schools. Following protests and accusations of discrimination, the government reversed the decision and used teacher predictions instead. The incident caused university admissions chaos and prompted a review by the Office for Statistics Regulation.
- Company involved
- Ofqual
8 source articles · read the reporting →
AI detector falsely accuses student of cheating at Central Methodist University
Moira Olmsted, a student at Central Methodist University, submitted a written assignment and received a zero grade after her professor said an AI detection tool flagged her work as AI-generated. Olmsted alleges the accusation was false and that her writing had been flagged at least once before. The incident highlights the risk of AI detectors falsely accusing students of cheating.
- Company involved
- Central Methodist University
1 source article · read the reporting →
International Baccalaureate's Secret Algorithm Downgrades Students, Jeopardising College Admissions
In July 2020, the International Baccalaureate (IB) program used a statistical model to predict final grades for over 170,000 students after cancelling exams due to Covid-19. Many students, including Anahita Nagpal, received lower-than-expected scores, causing them to lose college places and scholarships. Students, parents, and teachers questioned the fairness and transparency of the algorithm, with over 15,000 signing a petition demanding a fairer approach. IB defended the model but offered an appeals process, while some students planned to retake exams at their own expense.
- Company involved
- International Baccalaureate
1 source article · read the reporting →
Universities' use of race in student risk algorithms harms Black and Latinx students
The Markup found that several universities, including UMass Amherst, UW–Milwaukee, and Texas A&M, use EAB's Navigate software which incorporates race as a predictor of student dropout risk. The algorithms label Black and Latinx students as high risk at disproportionately high rates compared to White students. Students, professors, and experts worry this is pushing minority students out of math and science majors through biased advising.
- Company involved
- University of Massachusetts Amherst,University of Wisconsin–Milwaukee,Texas A&M University,Texas Tech University,South Dakota State University
- AI system involved
- Navigate
1 source article · read the reporting →
LAUSD shelves AI chatbot after vendor AllHere collapses
Los Angeles Unified School District turned off its 'Ed' AI chatbot on June 14, 2024, after the vendor AllHere furloughed most staff due to financial collapse. The chatbot, which cost $3 million, was designed to provide students and parents with academic guidance and school information. A former AllHere employee alleged that student data was improperly shared with third parties and processed overseas, raising privacy concerns. The district stated it will ensure privacy protections and plans to eventually restore the chatbot.
- Company involved
- Los Angeles Unified School District
- AI system involved
- Ed
5 source articles · read the reporting →
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)
1 source article · read the reporting →
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 →
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 →
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 →
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 →
