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.
1 source article · read the reporting →
Inside Warehouse 'VGT3': Investigation Reveals Amazon Destroys Rare Books to Train AI
داخل مستودع «VGT3».. «تحقيق»: أمازون تتلف كتبًا نادرة لتدريب الذكاء الاصطناعي - المصري اليوم
An investigation by 404 Media found that Amazon is purchasing large quantities of rare books to train its AI models. Workers at a Las Vegas facility cut the bindings off books and scan the pages, a process which destroys the originals. Amazon stated it buys books through commercial channels to improve products and services.
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Fired Teacher Says AI Tainted Review And Arbitration - law360.com
The AI-generated performance evaluation contributed to the teacher's termination.
- Company involved
- Concord Public Schools
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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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Resume prompt injection tricks AI hiring - moneywise.com
AI screening system determined which job applicants to advance to the next stage of recruitment.
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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 →
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 →
LLMjacking Attack Leverages Stolen Credentials to Exploit Cloud LLMs
The Sysdig Threat Research Team observed an attack where stolen cloud credentials were used to access cloud-hosted large language model services. The attackers targeted a vulnerable Laravel system to obtain credentials, then used them to invoke models like Anthropic Claude on AWS Bedrock. They intended to sell LLM access to other cybercriminals, potentially costing victims over $46,000 per day. The attack involved checking credentials against ten AI services and using a reverse proxy to manage access.
- AI system involved
- Claude (v2/v3) on AWS Bedrock
2 source articles · read the reporting →
Blind people and advocates criticise AccessiBe for worsening website access
Blind users and disability advocates say AccessiBe, an automated web accessibility overlay, disrupts screen readers on websites, making some sites unnavigable and preventing users from paying rent, shopping or teaching. More than 400 people signed an open letter asking companies to stop using automated overlays. Some blind users have brought ADA lawsuits against companies that use AccessiBe; one case was referred to mediation and another was settled. AccessiBe denies that it was at fault, saying critics do not give specific examples.
- Company involved
- AccessiBe
- AI system involved
- AccessiBe
10 source articles · 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 →
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
6 source articles · read the reporting →
Fable apologises after AI reader summaries generate offensive content
Book tracking app Fable's AI-generated annual reading summaries produced offensive remarks about users' race, gender, sexuality, and disability. Users, including Tiana Trammell and Danny B. Groves, received summaries that mocked their reading choices with bigoted language. Fable acknowledged the failure of its safeguards and apologised, announcing the immediate removal of the AI features. Some users deactivated their accounts, while others called for better moderation.
- Company involved
- Fable
4 source articles · read the reporting →
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
10 source articles · read the reporting →
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
10 source articles · read the reporting →
Chinese military researchers used Meta's Llama 2 to develop defense chatbot ChatBIT
Chinese military researchers, including two affiliated with the People's Liberation Army, reportedly used Meta's Llama 2 AI model to develop a defense chatbot called ChatBIT. According to Reuters, the chatbot is designed to gather and process intelligence and offer information for operational decision-making. Meta stated that the use was unauthorized and contrary to its acceptable use policy.
- Company involved
- People's Liberation Army (PLA)
- AI system involved
- ChatBIT
6 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 →
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 →
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 →
Adobe uses Creative Cloud user data to train AI
Adobe's content analysis feature may scan Creative Cloud and Document Cloud files to train machine learning models, including object recognition in Lightroom and Liquid Mode in Acrobat. The company says it may analyze images, audio, video, text and other documents stored on its servers. Adobe offers an opt-out in account privacy settings, but the article notes the company did not ask first.
- Company involved
- Adobe
- AI system involved
- Content analysis
10 source articles · read the reporting →
Elon Musk asks X users to upload medical data to train Grok chatbot
Elon Musk has told X users to upload medical images to the platform so that the AI chatbot Grok can learn to interpret them. He claimed Grok can give medical diagnoses, sometimes better than doctors, but experts have raised concerns about accuracy and privacy. The article reports cases where Grok misread a tuberculosis case and a mammogram. xAI, which owns X, responded to Fortune: 'Legacy Media Lies.'
- Company involved
- X
- AI system involved
- Grok
6 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 →
