Mozilla Foundation animation exposes racial bias in test proctoring app
The Mozilla Foundation commissioned an animated short telling the story of Amaya, a student whose test proctoring software failed to recognise her because of her skin tone. The software's facial recognition system did not detect her presence, illustrating the bias that students of colour face with remote-learning tools. The animation aimed to raise awareness and encourage programmers to address hidden biases in their work.
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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
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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
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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
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Allen Institute's Ask Delphi AI Delivers Racist Ethical Judgments
Allen Institute for AI launched a research prototype called Ask Delphi that gives ethical advice. Users quickly found that the AI gave racist judgments, such as deeming a black man walking towards you at night as unacceptable while a white man was fine. The institute acknowledged the bias and added disclaimers, emphasising it was an experiment meant to highlight the gap between machine and human moral reasoning. Critics warn that the tool could cause harm by lending moral authority to prejudiced outputs.
- Company involved
- Allen Institute for AI
- AI system involved
- Ask Delphi
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Harvard students create facial recognition smart glasses to identify strangers
Two Harvard students built a system called I-XRAY that uses Meta's Ray Ban smart glasses and the facial recognition service Pimeyes to automatically identify strangers and retrieve their personal information, including name, phone number, and home address. The students tested the system on unsuspecting people in public to demonstrate the privacy risks. They are not releasing the code.
- AI system involved
- I-XRAY
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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
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New York City Department of Education Releases Flawed Teacher Ratings Publicly
In February 2012, the New York City Department of Education publicly released individual Teacher Data Reports rating over 12,000 teachers based on value-added analysis of student test scores. The ratings, originally intended for internal use, were disclosed after a court ruled in favor of media organizations under the Freedom of Information Act. The teachers' union and education experts criticised the data as unreliable due to large margins of error and failure to account for demographic factors, warning that the release would unfairly shame or praise educators. The Department defended the ratings as a useful perspective on teacher effectiveness.
- Company involved
- New York City Department of Education
- AI system involved
- Teacher Data Reports
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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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Researchers hide prompts to manipulate AI peer review
Nikkei found hidden prompts in 17 preprints on arXiv that instructed AI tools to give the papers positive reviews and ignore negatives. The manuscripts were linked to 14 academic institutions, including Waseda University, KAIST, Peking University, the National University of Singapore, the University of Washington and Columbia University. At least one paper was set to be withdrawn, while some researchers defended the prompts as a check on reviewers who improperly use AI.
- Company involved
- Multiple academic institutions
- AI system involved
- arXiv
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Google's Perspective AI tricked by typos and leetspeak
Researchers at Aalto University and the University of Padua found that Google's Perspective AI hate speech detection system can be easily tricked by simple typos, adding spaces, or using leetspeak. The system assigns a toxicity score but fails to understand context, allowing abusive messages to appear harmless. The study highlights vulnerabilities in state-of-the-art hate speech detection models.
- Company involved
- Google
- AI system involved
- Perspective
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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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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
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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
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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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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 →
DeepScore markets facial and voice analysis app for trustworthiness scoring despite experts' doubts
DeepScore, a Tokyo-based company, is marketing an app that uses facial and voice recognition to score people's trustworthiness for lenders and insurers in Japan, Indonesia, Vietnam and the Philippines. The company says the app can detect deception with 70 per cent accuracy, but researchers and privacy advocates say there is no reliable scientific basis for such judgments and warn of discrimination and privacy harms. The chief executive said the system is only one part of lenders' and insurers' decision-making and that people can choose not to use it. Critics respond that an unequal balance of power makes consent difficult.
- Company involved
- DeepScore
- AI system involved
- DeepScore
6 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
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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
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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
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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 →
Researchers jailbreak Stable Diffusion and DALL-E 2 to generate disturbing images
Researchers from Johns Hopkins and Duke universities developed a method called SneakyPrompt that uses reinforcement learning to bypass safety filters in text-to-image AI models. The technique allowed them to generate images of nudity and violence from Stable Diffusion and DALL-E 2. OpenAI has since fixed the vulnerability in DALL-E 2, but Stable Diffusion 1.4 remains vulnerable. Stability AI says it is working with the researchers to improve defenses.
- AI system involved
- Stable Diffusion 1.4 and DALL-E 2
5 source articles · read the reporting →
