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
1 source article · read the reporting →
TSA body scanners trigger invasive searches of transgender travellers
Transgender and gender nonconforming travellers in the US allege that Transportation Security Administration full-body scanners, which require officers to select a binary gender, routinely flag their bodies as anomalies, leading to humiliating and invasive pat-downs. Travellers including Olivia, Terra Fox and Allister McGuire describe being pressured to expose their genitals or strip in private rooms after alarms, with one woman saying she was forced to show her penis to female officers who then cleared her. The TSA says it is committed to treating all travellers equally and has introduced new transgender awareness training, but internal complaint data shows a disproportionate number of civil rights complaints relate to screening of transgender people. ProPublica’s review of 174 traveller accounts found that most did not file a formal complaint, often from fear of outing themselves or not knowing how.
- Company involved
- Transportation Security Administration
- AI system involved
- Full-body scanner
1 source article · read the reporting →
CFPB fines General Information Services for inaccurate background checks
The Consumer Financial Protection Bureau took action against General Information Services and its affiliate e-Background-checks.com for failing to ensure the accuracy of employment background screening reports. The companies allegedly provided inaccurate criminal history information to employers, potentially affecting job applicants' eligibility and causing reputational harm. The CFPB ordered the companies to provide $10.5 million in relief to harmed consumers and pay a $2.5 million penalty.
- Company involved
- General Information Services
10 source articles · read the reporting →
Brooklyn landlord abandons facial recognition plan after tenant protests
Robert Nelson, president of Nelson Management Group, planned to install a facial recognition system at Atlantic Plaza Towers, a rent-stabilized building in Brownsville, Brooklyn. Tenants protested, citing privacy concerns and studies showing the technology disproportionately impacts people of color. After a town hall meeting, Nelson announced he was withdrawing the application with the state housing agency. The reversal was seen as a victory by tenants, who continue to push for legislation banning facial recognition in residential buildings.
- Company involved
- Nelson Management Group
10 source articles · read the reporting →
RealPage's YieldStar algorithm pushes rents higher for tenants
RealPage's YieldStar algorithm uses private competitor data to recommend rent increases for apartment units. Landlords adopt up to 90% of the suggestions, leading to higher rents for tenants. Critics allege the software may facilitate indirect price-fixing in violation of antitrust law. The company denies wrongdoing and says the software helps eliminate collusion.
- Company involved
- RealPage
- AI system involved
- YieldStar
10 source articles · read the reporting →
UDR Sued Over Alleged Use of RealPage Algorithm to Set Rents in San Diego
A class action lawsuit alleges that UDR, Inc. used RealPage's YieldStar algorithmic pricing software to set rental rates and occupancy levels for its San Diego properties, in violation of a local ordinance. The suit claims the software relied on nonpublic competitor data, contributing to inflated rents and making housing less affordable. The lawsuit, filed in July 2026, seeks to represent all affected tenants. UDR has previously acknowledged using YieldStar as one tool among others in its decision-making.
- Company involved
- UDR, Inc.
- AI system involved
- RealPage YieldStar
1 source article · read the reporting →
Joel A. Rivera v. Triad Properties Corporation, et al. (N.D. Alabama): AI-hallucinated content in court filing, Public Reprimand; Disqualification; Bar…
The AI generated fabricated legal citations that were presented to the court, affecting the defendants and the judicial process.
- Company involved
- Burrill Watkins LLC
- AI system involved
- ChatGPT
1 source article · 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 →
Cense exposed 2.5 million records of auto accident victims online
On July 7, 2020, a security researcher discovered 2.5 million records containing personal and medical data of auto accident victims exposed online. The records, belonging to New York-based AI company Cense, included names, insurance policy numbers, claim numbers, and medical diagnosis notes. The data was labeled as staging data, possibly intended for temporary storage before being loaded into an AI system. After the researcher sent a responsible disclosure notice, Cense restricted public access to the database.
- Company involved
- Cense
- AI system involved
- Cense
5 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 →
Titus Henderson files civil rights lawsuit against COMPAS
Titus Henderson, a prisoner, filed a civil rights lawsuit against COMPAS and other defendants in the U.S. District Court for the Western District of Wisconsin on July 16, 2018. The lawsuit alleges discrimination related to the use of the COMPAS risk assessment tool. The case is ongoing.
- AI system involved
- COMPAS
6 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 →
Clearview AI tested facial recognition surveillance cameras with UFT and Rudin
Clearview AI, the facial recognition company that scraped billions of photos from social media, developed a surveillance camera system under the name Insight Camera. The system was tested by the United Federation of Teachers and Rudin Management in New York City. The UFT used it to identify individuals who had made threats and prevent them from entering its offices. Clearview did not respond to requests for comment.
- Company involved
- Clearview AI
- AI system involved
- Insight Camera
9 source articles · read the reporting →
ChatGPT falsely tells users OpenCage offers phone lookup service
OpenCage, a geocoding API provider, says ChatGPT has been telling people it offers a reverse phone number lookup service, which it does not. Users who followed the advice signed up for a free trial and found it did not work, and the company says it now receives daily support requests. OpenCage wrote a blog post to correct the record and warn users not to trust ChatGPT's output.
- AI system involved
- ChatGPT
7 source articles · read the reporting →
Study finds Italian car insurers charge more based on birthplace
A study by the Universities of Padua, Udine and Carnegie Mellon found that Italian car insurers, including Genertel, Mps, Quixa and Con.Te, use birthplace and citizenship in pricing algorithms, charging some drivers over €1,000 more. The practice was ruled against in a 2018 decree involving Linear, but the study says it continues. The companies contacted denied or explained the findings.
- Company involved
- Genertel, Mps, Quixa, Con.Te
8 source articles · read the reporting →
LA's VI-SPDAT housing scoring system gives lower priority to Black and Latino people
The Los Angeles Homeless Services Authority uses the VI-SPDAT scoring system to prioritise unhoused people for subsidised permanent housing. An investigation by The Markup found that Black and Latino people consistently receive lower vulnerability scores than White people, leading to lower priority for housing. The agency has acknowledged the racial disparities and is working on a new tool, but continues to use the current system.
- Company involved
- Los Angeles Homeless Services Authority
- AI system involved
- VI-SPDAT
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 →
Uber sued over alleged racially biased star rating system
A former Uber driver in San Diego filed a federal lawsuit alleging that Uber's star rating system, based on passenger reviews, discriminates against drivers who are not white or who have accents. The suit claims Uber terminates drivers whose average ratings fall too low, and that this disproportionately affects minority drivers. Uber denies the allegation, stating that ridesharing has reduced bias. The plaintiff, Thomas Liu, an Asian driver from Hawaii, was fired in October 2015 after his rating dropped below 4.6.
- Company involved
- Uber
- AI system involved
- star rating system
10 source articles · read the reporting →
Canadian Tire chided by BC privacy commissioner for facial recognition without consent
Canadian Tire deployed facial recognition in at least four British Columbia stores between 2018 and 2021 to curb theft and increase staff safety. The BC Privacy Commissioner investigated and found the retailer failed to show a reasonable purpose and did not obtain customer consent, violating the province's Personal Information Protection Act. After the investigation was announced, Canadian Tire discontinued use of the system at all 12 locations and deleted customer data. The commissioner recommended stronger privacy policies and government regulation of biometric technologies.
- Company involved
- Canadian Tire
10 source articles · read the reporting →
TOV Realty, LLC v. Suarez; Kosel Equity, LLC v. MacGregor (SC Connecticut): AI-hallucinated content in court filing, 6 hours CLE;…
The AI generated legal briefs containing fabricated citations, which were submitted to the Connecticut Supreme Court.
- Company involved
- GLG Law LLC
- AI system involved
- ChatGPT
1 source article · read the reporting →
Study finds credit score algorithms less accurate for minorities
A study of 50 million US consumers found that credit scoring algorithms used by mortgage lenders are less accurate for minority and low-income applicants due to sparse credit data, leading to higher rejection rates. The inaccuracy is due to noise in the data, not bias, so fairer algorithms cannot fix it. The study suggests that adjusting for bias had no effect, and that addressing the inaccuracy could reduce disparities by 50%.
- Company involved
- Mortgage lenders (unnamed)
- AI system involved
- Credit scoring algorithms
6 source articles · read the reporting →
LoanDepot algorithm denied mortgage to Black couple in Charlotte
In August 2019, Crystal Marie and Eskias McDaniels, a Black couple, were denied a mortgage for a house in Charlotte, North Carolina, by loanDepot's automated underwriting algorithm. The algorithm rejected the application because Crystal Marie was a contractor, not a full-time employee, despite her high credit score and income. After the couple enlisted their real estate agent and employer to intervene, the lender reversed the decision and cleared them to close. The couple alleged that race played a role in the denial, which loanDepot denied.
- Company involved
- loanDepot
- AI system involved
- Classic FICO and Fannie Mae/Freddie Mac automated underwriting software
10 source articles · read the reporting →
Company fires HR team after ATS auto-rejects manager's CV due to filtering error
A company's applicant tracking system (ATS) auto-rejected qualified candidates' resumes for three months because it was filtering for the outdated framework AngularJS instead of the required Angular framework. The manager discovered the flaw by submitting his own CV under a pseudonym and found it was rejected within seconds. After the manager reported the issue to upper management, the company investigated and dismissed half of its HR team. No legal action or regulatory involvement is reported.
4 source articles · read the reporting →
UnitedHealth used ALERT algorithm to limit mental health coverage, regulators found
ProPublica reports that UnitedHealth Group's Optum subsidiary used the ALERT algorithm to flag mental health patients and therapists as outliers, leading to therapy coverage denials. Regulators in California, Massachusetts and New York alleged this breached the federal Mental Health Parity and Addiction Equity Act, and UnitedHealth agreed to restrict the system in those jurisdictions. The company denies wrongdoing and says its programmes are compliant. Affected patients, including Medicaid enrollees, were left to pay out-of-pocket or go without care.
- Company involved
- UnitedHealth Group
- AI system involved
- ALERT
5 source articles · read the reporting →
