Portland Metro ends Replica partnership over data privacy concerns
Portland Metro, an elected regional government in Oregon, ended its pilot project with movement data company Replica after a disagreement about data sharing. Portland Metro requested raw, disaggregated data, which Replica refused to provide, citing user privacy concerns. The partnership was terminated without payment.
- Company involved
- Portland Metro
- AI system involved
- Replica
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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 →
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 →
Wisconsin court used secret COMPAS algorithm to sentence Loomis to harsher term
In Loomis v. Wisconsin, a judge used a COMPAS risk score from Northpointe to sentence a defendant to a harsher punishment. The algorithm was kept secret as a trade secret, preventing the defendant from challenging its accuracy. The Wisconsin Supreme Court upheld the sentence, ruling that the score was only one part of the rationale. The case raises concerns about due process and the use of secret algorithms in criminal sentencing.
- Company involved
- State of Wisconsin
- AI system involved
- COMPAS
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
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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 →
Amazon Mentor app falsely flags drivers, leading to firings and lost pay
Amazon requires contracted delivery drivers to use the Mentor app, which tracks and scores driving behavior. Drivers report that the app falsely detects infractions, such as incoming calls or picking up a device, causing their scores to drop. This leads to disciplinary actions including firing, loss of bonuses, and reduced pay. Amazon has not addressed the specific allegations.
- Company involved
- Amazon
- AI system involved
- Mentor
10 source articles · read the reporting →
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
5 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 →
Meta tracks employee keystrokes on Google, LinkedIn, Wikipedia for AI training
Meta is using an internal tool, Model Capability Initiative (MCI), to capture employees' keystrokes, mouse movements and screen contents on work computers, including on sites such as Google, LinkedIn, Wikipedia and Slack, to train AI agents. Meta confirmed the project and said safeguards protect sensitive content and that the data is not used for other purposes. Employees raised concerns in internal messages that the tool could expose passwords, product details and personal information. A Meta memo said staff can avoid capture by not doing personal work on work computers.
- Company involved
- Meta
- AI system involved
- Model Capability Initiative (MCI)
5 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 →
State Bar of California admits using AI to develop bar exam questions
The State Bar of California admitted that it used artificial intelligence to develop multiple-choice questions for the February 2025 bar exam. The AI-generated questions were created by ACS Ventures, the Bar's psychometrician, and were reviewed by content panels. Test takers had complained about technical problems and irregularities, and the admission has sparked further outrage. The State Bar is asking the California Supreme Court to adjust test scores, and the Committee of Bar Examiners will meet in May to discuss remedies.
- Company involved
- State Bar of California
7 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 →
Baltimore schools monitor student laptops for suicide signs using GoGuardian Beacon
Baltimore City Public Schools uses GoGuardian Beacon software to monitor student laptops for signs of suicide. Since March 2021, the system has flagged 786 alerts, with nine students taken to emergency rooms. Privacy advocates warn the monitoring could lead to disciplinary actions, outing of LGBTQ students, and disproportionately affect disadvantaged students. School officials defend the practice as a safeguard.
- Company involved
- Baltimore City Public Schools
- AI system involved
- GoGuardian Beacon
10 source articles · read the reporting →
Mistral releases unmoderated chatbot that gives instructions on murder and ethnic cleansing
Mistral, a French AI startup valued at $260 million, released an open-source large language model named Mistral-7B-v0.1 without safety evaluations or moderation mechanisms. The model readily provides detailed instructions on murder, ethnic cleansing, suicide, and other harmful content. Mistral added a statement after the release acknowledging the lack of moderation but did not remove the model, which is distributed via torrent and cannot be deleted.
- Company involved
- Mistral
- AI system involved
- Mistral-7B-v0.1
7 source articles · read the reporting →
Anti-piracy group takes down Books3 dataset used to train Meta's LLaMA
The Danish anti-piracy group Rights Alliance sent a DMCA takedown request to The Eye, which hosted the Books3 dataset containing 196,640 copyrighted books. The dataset was used by Meta to train its LLaMA language model. Authors including Sarah Silverman have filed a class action lawsuit against Meta for using their works without permission. The dataset has been taken offline, but copies remain available.
- Company involved
- Meta
- AI system involved
- LLaMA
10 source articles · read the reporting →
Duke University recorded students' faces without proper consent for public dataset
In March 2014, Duke University researchers recorded thousands of students walking to class on campus without their knowledge or proper consent, creating the DukeMTMC dataset of over 2 million image frames. The dataset was placed on a public website and downloaded by academics, security contractors, and military researchers globally, including Chinese companies and military academies linked to surveillance of ethnic minorities. The university took down the public website in April 2019 after an Institutional Review Board investigation found the study deviated significantly from the approved protocol. The lead researcher apologized, stating he took full responsibility for his mistakes.
- Company involved
- Duke University
- AI system involved
- DukeMTMC
10 source articles · read the reporting →
Proctorio anti-cheating software failed to catch student cheaters in study
Researchers at the University of Twente in the Netherlands tested Proctorio, an anti-cheating software, by asking 30 computer science students to sit an exam while six of them cheated. Proctorio did not flag any of the cheaters and flagged some honest students for irregular behaviour. An independent human review caught only one of the six cheaters. Proctorio disputed the study's methodology and cited other research.
- Company involved
- Proctorio
- AI system involved
- Proctorio
5 source articles · read the reporting →
Chelmer Valley High School reprimanded for facial recognition DPIA failure
Chelmer Valley High School was issued a reprimand by the ICO for failing to complete a Data Protection Impact Assessment before introducing facial recognition technology for cashless catering. The reprimand was issued on 22 July 2024.
- Company involved
- Chelmer Valley High School
7 source articles · read the reporting →
News/Media Alliance study finds unauthorised use of publisher content to train AI
The News/Media Alliance alleges that generative AI developers have copied and used publishers' content without authorisation to train large language models. The study says the models can reproduce the content and compete with publishers. The Alliance calls for transparency, licensing, and legislation to address the unauthorised use.
10 source articles · read the reporting →