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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Intuit, HireVue Accused of AI Job Bias Against Deaf Woman
The ACLU filed complaints with state and federal agencies on behalf of a deaf, Indigenous employee of Intuit who was denied a promotion after an automated HireVue video interview. The tool did not caption all audible questions and could not accurately transcribe her speech, which the complaint says disadvantaged her because of her disability and race.
- Company involved
- Intuit
- AI system involved
- HireVue video interview
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Student Overturns AI Cheating Accusation in Court, Three Others Lose
一名学生在法庭上推翻 AI 作弊指控，另外三人败诉 - Pasquale Pillitteri
New York's Nassau County Supreme Court vacated Adelphi University's disciplinary action against student Orion Newby, who had been accused of using AI, finding the university's conclusion lacked a reasonable basis and that it had ignored exculpatory evidence and his disability status. In three other recent cases, courts upheld decisions by schools or universities.
- Company involved
- Adelphi University
- AI system involved
- Turnitin
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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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AI Lawsuit Pushes the Boundaries of AI Litigation—and May Signal a New Wave
Ranked job applicants' likelihood of success, affecting their hiring prospects.
- Company involved
- Eightfold AI Inc.
- AI system involved
- Eightfold AI Hiring Platform
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Playground AI makes MIT student's headshot appear Caucasian
Rona Wang, an MIT graduate, used Playground AI to generate a professional LinkedIn photo. The AI altered her appearance, giving her lighter skin and blue eyes, making her look Caucasian. The incident sparked discussion about racial bias in AI. Playground AI's founder acknowledged the issue and expressed a desire to fix it.
- Company involved
- Playground AI
- AI system involved
- Playground AI
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Alibaba Cloud tested ethnicity detection algorithm, drawing criticism
Alibaba Cloud developed and tested a facial recognition algorithm that could identify a person's ethnicity or label them as Uyghur, according to research by IPVM. Alibaba expressed dismay, stating the trial technology was not deployed by any customer and that ethnic tags have been removed from its product. The incident raised concerns about potential ethnic profiling of Uyghur Muslims in China. The company said it does not permit its technology to be used for targeting specific ethnic groups.
- Company involved
- Alibaba Cloud
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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
6 source articles · read the reporting →
Western Sydney University academic used AI to write opinion piece
Professor Cath Ellis, a pro vice chancellor at Western Sydney University, used Microsoft Copilot to write an opinion piece defending universities against claims of devalued qualifications. The piece was published by The Sydney Morning Herald and The Age, but academics noticed AI-generated language patterns. The newspapers removed the article after learning AI was used without disclosure, and the university defended the use as appropriate.
- Company involved
- Western Sydney University
- AI system involved
- Copilot
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University of Toronto exam monitoring software disadvantages BIPOC students
The University of Toronto continued using ProctorU and Examity exam monitoring software despite reports that the facial recognition technology fails to identify BIPOC students, causing stress and delays. Students like Maame Adjoa experienced the AI system being unable to verify their identity, requiring manual intervention. The university acknowledged the equity concerns but has not banned the software, while ProctorU stated that human proctors make final decisions. The issue has drawn criticism from US senators and researchers who highlight built-in bias in AI facial recognition.
- Company involved
- University of Toronto
- AI system involved
- ProctorU, Examity
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University of Texas at Austin Stops Using Biased Ph.D. Admissions Algorithm
The University of Texas at Austin's computer science department used a machine-learning system called GRADE from 2013 to 2020 to score Ph.D. applicants. Critics argued the system perpetuated bias by training on past admissions decisions and using features like institution prestige and biased language in recommendation letters. The department discontinued the system in 2020, citing maintenance difficulties, but the controversy highlighted concerns about algorithmic fairness in admissions. The system was never disclosed to applicants, and its impact on underrepresented groups remains unknown.
- Company involved
- University of Texas at Austin
- AI system involved
- GRADE
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OpenAI's DALL-E 2 covertly adds diversity terms to user prompts
Users of OpenAI's text-to-image tool DALL-E 2 discovered that the system was covertly adding words such as 'black' and 'female' to their prompts. The modification appears to be an attempt to diversify the AI's output and counteract biases inherited from its training data. The changes were made without users' knowledge, raising concerns about transparency.
- Company involved
- OpenAI
- AI system involved
- DALL-E 2
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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
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Universities' use of race in student risk algorithms harms Black and Latinx students
The Markup found that several universities, including UMass Amherst, UW–Milwaukee, and Texas A&M, use EAB's Navigate software which incorporates race as a predictor of student dropout risk. The algorithms label Black and Latinx students as high risk at disproportionately high rates compared to White students. Students, professors, and experts worry this is pushing minority students out of math and science majors through biased advising.
- Company involved
- University of Massachusetts Amherst,University of Wisconsin–Milwaukee,Texas A&M University,Texas Tech University,South Dakota State University
- AI system involved
- Navigate
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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
5 source articles · read the reporting →
Gamma AI Presentation Tool Exploited in Multi-Stage Phishing Campaign
Threat actors used Gamma, an AI-powered presentation builder, to host a page that redirected recipients to a fake Microsoft SharePoint login portal. Emails sent from compromised legitimate accounts passed authentication checks, while a Cloudflare Turnstile blocked automated security scanners. An adversary-in-the-middle framework validated credentials in real time and captured session cookies, enabling multi-factor authentication bypass on Microsoft accounts. Abnormal reported the campaign on 15 April 2025.
- AI system involved
- Gamma
7 source articles · read the reporting →
Houston teachers sue over secret EVAAS evaluation algorithm
Houston Independent School District used the SAS Institute's EVAAS system, a proprietary algorithm, to evaluate teacher performance based on student test scores. The Houston Federation of Teachers and several teachers sued in 2014, alleging the system violated their Fourteenth Amendment procedural due process rights because the algorithm is a trade secret and teachers cannot verify the accuracy of their scores. A federal magistrate judge refused to dismiss the procedural due process claims in May 2017, ruling that teachers must have an opportunity to test the accuracy of the scores that could cost them their jobs.
- Company involved
- Houston Independent School District
- AI system involved
- Educational Value-Added Assessment System (EVAAS)
1 source article · read the reporting →
Alaska Education Commissioner Used AI to Draft Policy, Resulting in False Citations
Alaska Department of Education and Early Development Commissioner Deena Bishop used a generative AI platform to draft a proposed cellphone policy resolution, which included citations to non-existent academic studies. The document was posted on the state website and presented to the state Board of Education without disclosing AI use. After inquiries from the Alaska Beacon, the department corrected the citations, but some false references remained in the adopted resolution. The incident highlights the risks of AI-generated misinformation in government decision-making.
- Company involved
- Alaska Department of Education and Early Development
1 source article · read the reporting →
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 →
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
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AMS algorithm lacks transparency and may discriminate against job seekers
The Austrian Public Employment Service (AMS) uses an algorithm to classify job seekers into categories A, B, and C, determining their access to benefits and training. Scientists from TU Wien, WU Wien, and University of Vienna have criticised the algorithm for lacking transparency, as only two of 96 model variants have been published. They allege that the system may discriminate against women and people with migration background, and that job seekers are not informed about how the algorithm works or given a chance to appeal.
- Company involved
- AMS (Arbeitsmarktservice Österreich)
- AI system involved
- AMS-Algorithmus
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 →
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 →
