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 →
NHTSA investigates Detroit Tesla crash that critically injured passenger
The National Highway Traffic Safety Administration is investigating a violent crash on March 11 in Detroit involving a Tesla sedan and a semi-truck. The car became wedged under the trailer, leaving a passenger in critical condition. Investigators have not yet determined whether Tesla's Autopilot, Full Self-Driving or FSD beta systems were engaged. The NHTSA has launched a Special Crash Investigation team to probe the incident.
- Company involved
- Tesla
- AI system involved
- Autopilot
9 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 →
Denmark's Udbetaling Danmark welfare algorithm illegally surveilled millions
Udbetaling Danmark (UDK), Denmark's centralized welfare payment agency, used automated algorithms to check eligibility and detect fraud. The system collected personal data on millions of beneficiaries and their relatives, including non-beneficiaries, in what a think-tank called 'systematic surveillance'. A complaint to the Danish Data Protection Authority led to a ruling that the data collection violated GDPR, and UDK eventually deleted the illegally obtained data. The system also caused erroneous payments, including underpaying 300,000 pensioners by 94 million euros annually.
- Company involved
- Udbetaling Danmark
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 →
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 →
NHS liver transplant algorithm causes longer waits for younger patients
An NHS computer algorithm that prioritises liver transplant patients most likely to die soon has led to younger patients waiting 156 days longer on average than those over 60. The algorithm, launched in 2018, gives a score based on 21 recipient and seven donor parameters. Patients like Sarah Meredith, 31, have been waiting two years for a transplant. NHS Blood and Transplant defends the system as saving lives but acknowledges the stress on younger patients.
- Company involved
- NHS Blood and Transplant
10 source articles · read the reporting →
In re BFI Waste Sys. of Tenn. (M.D. Tennessee): AI-hallucinated content in court filing, Public reprimand; Monetary sanction
The AI generated false legal quotations that were submitted to the court in a legal brief.
- Company involved
- Ringger
1 source article · read the reporting →
Reaves Law Firm, PLLC v. Baker, Donelson, Bearman, Caldwell & Berkowitz, PC, et al. (W.D. Tennessee): AI-hallucinated content in court…
The AI generated fictitious legal authorities and arguments that were filed in a court motion, misleading the court and opposing counsel.
- Company involved
- Reaves Law Firm, PLLC
1 source article · read the reporting →
US immigration system's machine translation errors deny asylum to vulnerable people
The US immigration system's reliance on machine translation tools has caused errors in asylum applications, leading to denials for vulnerable individuals. An Afro-Indigenous man from Brazil spent six months in ICE detention unable to communicate, as the tools did not understand his regional accent. Another applicant's use of "I" was mistranslated as "we", and a domestic abuse survivor's reference to her abuser as "mi jefe" (colloquially meaning father) was translated as "my boss". These errors are alleged to have resulted in asylum denials and potential deportations.
- Company involved
- US Immigration and Customs Enforcement (ICE)
- AI system involved
- Machine translation tools
6 source articles · read the reporting →
EviCore denied heart catheterization for patient using algorithm
In fall 2021, Little John Cupp's doctor requested a left heart catheterization exam. EviCore, a company hired by UnitedHealthcare, denied the request twice using an algorithm called 'the dial' that adjusts thresholds for review. The algorithm flagged the request for review, and EviCore's doctors determined it was not medically necessary. Cupp did not receive the procedure and his symptoms continued.
- Company involved
- EviCore (a Cigna company)
- AI system involved
- the dial
6 source articles · read the reporting →
IRCC uses AI triage for Temporary Resident Visa applications
Immigration, Refugees and Citizenship Canada (IRCC) uses an AI system called Advanced Analytics to triage Temporary Resident Visa applications from India and China. The system categorizes applications into tiers, with Tier 1 approved automatically and others sent to human officers. Critics allege the system lacks transparency and may introduce bias, leading to visa refusals without clear rationale. The author, a Canadian immigration lawyer, is filing Federal Court cases on behalf of clients affected by refusals.
- Company involved
- Immigration, Refugees and Citizenship Canada (IRCC)
- AI system involved
- Advanced Analytics Triage of Overseas Temporary Resident Visa Applications
10 source articles · read the reporting →
California EDD's automated fraud detection wrongly suspended 600,000 legitimate unemployment claims
In January 2021, the California Employment Development Department used Thompson Reuters automated batch review software to flag 1.1 million unemployment claims as potentially fraudulent. EDD stopped payments on those claims without prior notice. Later, over 600,000 were confirmed as legitimate after claimants used ID.me to verify their identity. The incident highlights the trade-off between fraud prevention and timely benefit access.
- Company involved
- California Employment Development Department (EDD)
- AI system involved
- Thompson Reuters Automated Batch Review
7 source articles · read the reporting →
UNOS liver allocation policy reduces transplants in poorer states
The United Network for Organ Sharing (UNOS) implemented a new liver allocation policy in 2020 called the acuity circles system, which prioritizes the sickest patients regardless of location. An analysis by The Markup and The Washington Post found that the policy led to sharp declines in liver transplants in several Southern and Midwestern states and Puerto Rico, while increasing transplants in New York and California. Patients in affected states allege the system disadvantages poorer regions, and hospitals have sued to overturn the policy.
- Company involved
- United Network for Organ Sharing (UNOS)
- AI system involved
- Acuity circles liver allocation policy
10 source articles · read the reporting →
Swedish welfare agency's AI system flags marginalized groups for fraud investigations
Försäkringskassan, Sweden's Social Insurance Agency, uses an AI risk-scoring system to flag welfare applicants for fraud investigations. The system disproportionately targets women, individuals with foreign backgrounds, low-income earners, and those without university degrees, according to an investigation by Lighthouse Reports and Svenska Dagbladet. Amnesty International has called for the system to be discontinued, citing violations of the right to equality and non-discrimination.
- Company involved
- Försäkringskassan (Swedish Social Insurance Agency)
6 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 →
Woman denied state welfare card groceries after face scan fails
A grandmother rode her motorcycle several kilometres to a shop in Sapphaya district, Chai Nat province, to use her state welfare card to buy groceries for her family. After selecting items, she failed repeated facial recognition scans because her ID card photo was years old and no longer matched her appearance. She left the shop empty-handed and in tears.
- Company involved
- Government of Thailand (state welfare card system)
2 source articles · read the reporting →
DWP algorithm mistakenly flags 200,000 Housing Benefit claimants for fraud review
The UK Department for Work and Pensions (DWP) uses an algorithm to flag Housing Benefit claimants for possible fraud or error. According to a Big Brother Watch investigation, the algorithm has mistakenly flagged 200,000 innocent people, subjecting them to intrusive reviews. Only one in three flagged cases actually had errors, compared to two in three during the pilot. The DWP has spent £4.4 million on these pointless checks.
- Company involved
- Department for Work and Pensions (DWP)
6 source articles · read the reporting →
DWP algorithm approved Kickstart gateways with no trading history or based abroad
An FE Week investigation found that the Department for Work and Pensions (DWP) approved dozens of companies as Kickstart gateways through automated due diligence checks using the Cabinet Office Spotlight Tool, although some had little or no trading history or were based abroad. The DWP said gateways were subject to stringent checks and later said human checks were also used. After the findings were shared with the Treasury and the DWP, the department stopped taking gateway applications and scrapped the requirement for small employers to use gateways from 3 February.
- Company involved
- Department for Work and Pensions
- AI system involved
- Cabinet Office Spotlight Tool
3 source articles · read the reporting →
Tennessee's TennCare Connect algorithm illegally denied thousands Medicaid benefits
A U.S. District Court judge ruled that Tennessee's TennCare Connect system, built by Deloitte for over $400 million, illegally denied thousands of low-income residents and people with disabilities Medicaid and disability benefits due to programming and data errors. The system automatically terminated coverage without properly considering eligibility for all available programs. A class action lawsuit filed in 2020 resulted in the ruling.
- Company involved
- TennCare (Tennessee Medicaid)
- AI system involved
- TennCare Connect
10 source articles · read the reporting →
Vanderbilt, Northwestern and University of Texas stop using Turnitin AI detector over false cheating accusations
Several US universities, including Vanderbilt, Northwestern and the University of Texas, have stopped using Turnitin's AI detection tool over concerns that it falsely marks student essays as written by ChatGPT. Vanderbilt estimated that the tool's 1% false-positive rate could have wrongly labelled about 750 of 75,000 papers submitted last year. A Texas professor came under fire for failing half his class after the software identified their essays as AI-generated. Turnitin said its technology is not meant to replace educators' professional discretion.
- Company involved
- Multiple universities (Vanderbilt University, Northwestern University, University of Texas)
- AI system involved
- Turnitin's AI detection tool
9 source articles · read the reporting →
Deloitte software glitches wrongly remove Texans from Medicaid
Advocacy groups filed a complaint with the Federal Trade Commission alleging that Deloitte's eligibility software, TIERS, used by Texas Medicaid, wrongly disenrolled qualified recipients due to glitches. Nearly 1.8 million Texans lost coverage after the pandemic pause ended, with many errors attributed to procedural issues but some linked to system malfunctions. Deloitte denies the claims, while the state says it restored care for at least 90,000 people. The FTC has not yet responded to the complaint.
- Company involved
- Texas Health and Human Services Commission
- AI system involved
- TIERS
6 source articles · read the reporting →
TransUnion AI tenant screening denied 75-year-old man apartment due to mistaken littering conviction
Chris Robinson, then 75, applied for a senior living apartment in California. The property manager used an AI screening program from TransUnion, which assigned him a low score based on a mistaken conviction for littering that belonged to a different person with the same name in Texas. Robinson lost the apartment and his application fee. A federal class-action lawsuit against TransUnion moved toward a $11.5 million settlement in 2023.
10 source articles · read the reporting →
