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 →
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 →
Facial recognition trialled in Australian schools to mark attendance
Five Australian schools are trialling a facial recognition system from LoopLearn to automate student attendance. The system scans students' faces and sends attendance data to an app. Privacy experts have raised concerns about data security and surveillance. The Victorian government previously tried to stop the trial due to privacy risks.
- Company involved
- Clarendon College
- AI system involved
- LoopLearn
10 source articles · read the reporting →
California bar exam facial recognition system fails to verify Arab-American student's identity
Ahmed Alamri, an Arab-American law student, was unable to register for the practice California bar exam because ExamSoft's facial recognition system repeatedly failed to recognize his face, citing poor lighting. Alamri attempted to verify his identity over 75 times in different rooms and lighting conditions without success. He and other students filed an emergency petition with the California Supreme Court, alleging that the system discriminates against people of color. The incident highlights concerns about bias in facial recognition technology used for exam proctoring.
- Company involved
- California State Bar
- AI system involved
- ExamSoft
10 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 →
CBSE introduces facial recognition system for students to access digital documents
The Central Board of Secondary Education (CBSE) has introduced a facial recognition system for Class 10 and 12 students to access their digital academic documents. A live image of the student is compared with the photograph on their CBSE admit card and, if the match succeeds, the certificate is emailed to them. The facility is available on Digi Locker for 2020 records and is expected to help foreign students and those unable to open a Digi Locker account.
- Company involved
- Central Board of Secondary Education (CBSE)
- AI system involved
- Facial Recognition System
10 source articles · read the reporting →
Dartmouth Medical School charges 17 students with cheating based on tracking system.
Dartmouth College's Geisel School of Medicine charged 17 students with cheating on remote exams during the pandemic. The charges were based on secret tracking of student activity on the learning management system. Critics say the system is prone to errors and inappropriate for monitoring students.
- Company involved
- Dartmouth College Geisel School of Medicine
10 source articles · read the reporting →
ViaQuatro's facial recognition system in São Paulo metro challenged in court
In April 2018, ViaQuatro installed the Digital Interactive Doors System, developed by AdMobilize, on the São Paulo metro's yellow line. The system used cameras to detect passengers' faces and claimed to infer their emotion, age, and gender in order to target advertisements. The Brazilian Institute of Consumer Protection (IDEC) filed a public civil action alleging that the system violated consumer and data protection laws by processing biometric data without consent and making pseudoscientific and discriminatory inferences. A judge ordered the cameras removed in August 2018, and the case is pending a final ruling.
- Company involved
- ViaQuatro
- AI system involved
- Digital Interactive Doors System (DID system)
10 source articles · read the reporting →
Buona Scuola algorithm mistakenly assigned thousands of teachers in Italy
In 2016, the Buona Scuola algorithm, used by the Italian Ministry of Education, mistakenly assigned thousands of teachers to wrong professional destinations based on mobility rankings. The system was later discontinued. The incident is reported in the Automating Society Report 2020.
- Company involved
- Italian Ministry of Education
- AI system involved
- Buona Scuola algorithm
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 →
Researchers trick Baidu-Unit chatbot into leaking server data
Researchers from the University of Sheffield demonstrated that the AI chatbot Baidu-Unit could be manipulated to produce malicious code. Using this code, they obtained confidential server configurations and tampered with a server node. Baidu acknowledged the vulnerabilities, fixed them, and financially rewarded the researchers.
- Company involved
- Baidu
- AI system involved
- Baidu-Unit
8 source articles · read the reporting →
LINAGORA closes Lucie 7B after user mockery
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.
- Company involved
- LINAGORA
- AI system involved
- Lucie 7B
6 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 →
University of Michigan halts vendor offering student data for AI training
The University of Michigan asked a vendor to stop work after a LinkedIn message offered to license student data for AI training for $25,000. The data came from past research studies and did not contain personal identifiers. The university stated that student data was never for sale and that the vendor had shared inaccurate information. The vendor was asked to halt their work.
- Company involved
- University of Michigan
5 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 →
Evolv weapon detection system falsely flags Chromebooks as weapons
Evolv's AI-based weapon detection system has been reported to falsely identify certain Chromebook laptops as weapons, causing false alarms at security checkpoints. The system is used in venues such as schools. The article discusses the flaw and user experiences. No official response from Evolv has been mentioned.
- Company involved
- Evolv
- AI system involved
- Evolv
5 source articles · read the reporting →
Slack trains AI features on user messages and files by default
Slack uses user messages, files, and data to train its machine learning features such as channel recommendations and emoji suggestions. Users are opted in by default and cannot individually opt out; only workspace administrators can request exclusion via email. A user publicly criticized the practice, and Slack acknowledged the policy but did not change it.
- Company involved
- Slack
10 source articles · read the reporting →
