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 →
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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Intel and Class Technologies face criticism over emotion-detecting AI for students
Intel partnered with Class Technologies to use an AI system that analyses student emotions during Zoom classes to provide insights to teachers. Critics, including educator Todd Richmond, argued that facial expressions are not reliable indicators of internal states and that the system amounts to pseudoscience. The article reports these criticisms as allegations, not as proven fact. No specific incident of harm or regulatory action is reported.
- Company involved
- Intel
- AI system involved
- Class Technologies face-reading AI
10 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 →
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
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 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.
10 source articles · read the reporting →
TikTok's hate speech detection flags Black Lives Matter as inappropriate
TikTok's hate speech detection system erroneously flagged phrases such as 'Black Lives Matter' and 'Black success' as inappropriate in its Creator Marketplace, while not flagging 'white supremacy' or 'white success'. Black creator Ziggi Tyler discovered the issue and posted viral videos expressing frustration. TikTok acknowledged the error, attributing it to a word-order bug, and said it is working to fix it. Some Black creators remain dissatisfied, citing a pattern of racial bias in content moderation.
- Company involved
- TikTok
- AI system involved
- TikTok Creator Marketplace hate speech detection system
7 source articles · read the reporting →
EEOC sues iTutorGroup for automated rejection of older tutor applicants
The US Equal Employment Opportunity Commission (EEOC) alleges that tutoring provider iTutorGroup programmed its recruitment software automatically to reject female applicants aged 55 or older and male applicants aged 60 or older. More than 200 qualified US-based applicants were denied work in 2020. The EEOC has filed a lawsuit in the Eastern District of New York seeking back pay and damages.
- Company involved
- iTutorGroup
10 source articles · 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 →
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 →
China's vocational school students exploited as data annotators for AI
Vocational schools in China force students to work as data annotators for AI companies, paying subminimum wages and taking commissions. Students like Lucy in Shandong spent months labeling data for autonomous driving and content moderation systems, with little learning or career advancement. The practice continues despite new regulations.
2 source articles · read the reporting →
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 →
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
10 source articles · read the reporting →
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 →
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 →
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 →
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 →
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 →
