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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Hangzhou No. 11 Middle School installs facial recognition system to monitor students
Hangzhou No. 11 Middle School has deployed a smart classroom behaviour management system, developed with Hikvision, that uses facial recognition to take attendance and analyse students' expressions and behaviour. The system alerts teachers when students appear inattentive. The school says it records only behavioural state information, not video, and that it will be installed in all classes. Some people have raised privacy concerns.
- Company involved
- 杭州第十一中学
- AI system involved
- 智慧课堂行为管理系统
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Anderstorp gymnasium trials facial recognition to register student attendance
Anderstorp gymnasium in Skellefteå, Sweden, used a facial recognition system for a few weeks in autumn 2018 to automatically register students' attendance when they entered a classroom. The system, made by an unnamed manufacturer, replaced teachers' manual attendance records for one class. Pupils were mostly satisfied, and the school's principal described the technology as safe. Skellefteå municipality and the manufacturer are discussing a possible continuation, with the manufacturer recommending consultation with Datainspektionen before scaling up.
- Company involved
- Skellefteå kommun
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Beijing school uses Hanwang emotion recognition system to monitor student behaviour
Niulanshan First Secondary School in Beijing has installed Hanwang Technology's Classroom Care System, which photographs students every second and analyses their facial expressions and behaviour. The system sends weekly reports to teachers and parents, and one student was described as low participation in English class despite being recorded as focused 94% of the time. The school has been highlighted in a report by Article 19, which says such emotion recognition tools rely on junk science and risk eroding privacy and human rights.
- Company involved
- Niulanshan First Secondary School
- AI system involved
- Classroom Care System
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Chinese university deploys facial recognition for attendance monitoring
A university in eastern China has installed a facial recognition system at its entrance and in two classrooms to monitor student attendance and behaviour. The system automatically captures students' faces without their cooperation. The pilot project is intended to improve attendance rates. No specific incidents of harm have been reported.
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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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Microsoft removes user names from Productivity Score after privacy backlash
Microsoft rolled out its Productivity Score feature in Microsoft 365 in October 2020, which allowed managers to see individual employee data on email, chat, and meeting usage. Privacy experts criticized it as a workplace surveillance tool. After backlash, Microsoft removed user names and changed the feature to aggregate data at the organization level only.
- Company involved
- Microsoft
- AI system involved
- Productivity Score
8 source articles · read the reporting →
NSW Education Standards Authority used AI-generated image in HSC English exam without disclosure
The NSW Education Standards Authority (NESA) used an AI-generated image as a stimulus in the 2024 HSC English exam without disclosing its origin. The image, created by Florian Schroeder using OpenAI's ChatGPT and Dall-E 2, was published on Medium in July 2023. Students suspected AI use due to irregularities in the image, and NESA initially declined to confirm. After the Sydney Morning Herald confirmed the image was AI-generated, NESA stated that students would be marked on their response to the question, not the image's origin.
- Company involved
- NSW Education Standards Authority
- AI system involved
- ChatGPT and Dall-E 2
6 source articles · read the reporting →
Suzhou clarifies civility scoring system after public backlash
The Suzhou municipal government announced a civility code system that assigns scores to residents based on their behavior, including traffic violations and volunteer work. The system, currently in a trial phase, aims to generate a personal portrait for each resident. Following public backlash and concerns about privacy and potential abuse, an official stated that participation will not be mandatory and that a bad score will not affect citizens. The system is still under development.
- Company involved
- Suzhou municipal government
- AI system involved
- Civility code
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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)
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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 threatens UC Santa Barbara faculty over privacy criticism
ProctorU, an online proctoring service, sent a legal threat letter to the University of California Santa Barbara faculty association after the association expressed concerns about ProctorU's data privacy policies. The letter, from ProctorU's lawyer, invoked defamation, copyright, and trademark claims, and was copied to state and federal prosecutors. The faculty association had asked the university to reconsider its relationship with ProctorU due to concerns about student data sharing.
- Company involved
- ProctorU
- AI system involved
- ProctorU
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
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Proctorio's exam proctoring system allows human agents to review student feeds despite privacy claims
A security researcher analyzed Proctorio's Chrome extension and found evidence that the system allows human agents to review students' room scans and live ID checks, contrary to Proctorio's claims that only professors can access recordings. The system flags students based on behavioral metrics and can terminate exams. The researcher also raised concerns about discrimination against low-income students and privacy violations.
- Company involved
- Proctorio
- AI system involved
- Proctorio
10 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
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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)
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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 →
Qoves facial assessment tool ranks journalist's attractiveness and suggests procedures
Tate Ryan-Mosley, a journalist at MIT Technology Review, used Qoves Studio's AI facial assessment tool, which automatically scored her face and listed perceived flaws such as smile lines and under-eye bags. The tool recommended skin-care products and paid surgical consultation reports. She also tried Megvii's Face++ beauty-scoring system, which gave her two percentage attractiveness scores. The article raises concerns that such algorithms are inaccurate, biased and not transparently used by social media platforms.
- Company involved
- Qoves Studio
- AI system involved
- Facial Assessment Tool
9 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 →
