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 →
Lemonade backtracks on tweet claiming AI scans customer faces for fraud
Lemonade, an insurance firm, posted a tweet claiming it uses AI to detect non-verbal cues in customer videos to deny claims. After backlash comparing the practice to phrenology, the company deleted the tweet and denied using AI to deny claims based on facial characteristics. Lemonade stated it uses facial recognition only to flag claims submitted under different identities, which are then reviewed by human investigators.
- Company involved
- Lemonade
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 →
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 →
Danish law enables algorithm to profile unemployed for long-term risk
The Danish parliament passed a law in April 2019 that allows an algorithm to analyse personal data of all unemployed individuals to identify those at risk of long-term unemployment. The system uses data on ethnicity, age, health, and education history to produce a risk score for social workers. Critics, including legal experts and unemployment insurance funds, argue the profiling is stigmatising, lacks transparency, and may violate GDPR. The Danish Data Protection Authority has reopened its review of the law.
- Company involved
- Danish Ministry of Employment
10 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 →
UnitedHealthcare sued for using AI to deny Medicare Advantage patients care
A class action complaint alleges that UnitedHealthcare and its subsidiary naviHealth deployed an artificial intelligence model to override treating physicians' determinations of medically necessary care for elderly Medicare Advantage patients. The complaint claims the AI model has a known 90% error rate and wrongfully denied patients care. The lawsuit, filed in the U.S. District Court for the District of Minnesota, seeks damages on behalf of the estates of two deceased patients and all others similarly situated.
- Company involved
- UnitedHealthcare, Inc.
10 source articles · read the reporting →
Face recognition bypass used to register shell companies for tax fraud in Shanghai
In a major tax fraud case in Shanghai, criminals used face recognition cracking techniques to register shell companies on government platforms. They purchased high-resolution photos and used apps to create fake videos, then used modified phones to bypass face recognition authentication. The scheme resulted in fraudulent invoices totaling over 500 million yuan. The case was prosecuted by the Shanghai procuratorate.
7 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 →
Hong Kong police arrest six in fraud syndicate using AI deepfake for loan scams
Hong Kong police arrested six people in a crackdown on a fraud syndicate that used AI deepfake technology to create doctored images for loan scams targeting banks and money-lenders. The case marks the first known instance of scammers using deepfake to fleece financial agencies. The police reminded the public to be aware of signs of deepfakes in video calls.
9 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 →
Immigration NZ uses data model to predict likely troublemakers among overstayers
Immigration New Zealand has been piloting a data modelling system that uses demographic information such as age, gender, and ethnicity of overstayers to predict which individuals are likely to commit crime or incur hospital debts. The system then targets those individuals for accelerated deportation. Critics, including immigration lawyers and a lobby group, have likened the programme to 'Minority Report' and allege it amounts to racial profiling. Immigration Minister Iain Lees-Galloway only learned of the programme on the day of the article and said he would seek a full briefing, but maintained it is not racial profiling and does not breach the Human Rights Act.
- Company involved
- Immigration New Zealand
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 →
Spanish police bust $20M AI-powered investment scam
Spanish law enforcement, collaborating with international authorities, dismantled a $20 million investment scam that used AI-driven algorithms to deceive individuals and organizations. Six suspects were detained and assets, including luxury cars and cryptocurrency, were seized. The article does not report any compensation for victims.
5 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 →
Dutch government to refund over 10,000 students over discriminatory DUO fraud algorithm
The Dutch government has pledged to refund over 10,000 students who were unjustly flagged for student finance fraud by a discriminatory algorithm used by the Education Executive Agency (DUO). The algorithm, implemented in 2012, used criteria that disproportionately targeted students from immigrant backgrounds, particularly those of Turkish and Moroccan descent. Following investigations by the Dutch Data Protection Authority and an independent report by PwC, the algorithm was suspended in July 2023 and replaced with a random-sampling system. The government has allocated 61 million euro for refunds.
- Company involved
- Education Executive Agency (DUO)
- AI system involved
- DUO fraud detection system
9 source articles · read the reporting →
CJEU rules Dun & Bradstreet must explain automated credit decisions under GDPR
A customer was refused a mobile phone contract because of an automated credit assessment by Dun & Bradstreet Austria. The customer took the case to court, which found that Dun & Bradstreet had infringed the GDPR by failing to provide meaningful information about the logic involved. The CJEU ruled that data controllers must explain automated decisions and that trade secrets cannot automatically override the right of access.
- Company involved
- Dun & Bradstreet Austria GmbH
7 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 →
Audit of RisCanvi finds biases and reliability issues in criminal justice system
Eticas conducted an adversarial audit of RisCanvi, an AI risk assessment tool used in Catalonia's criminal justice system. The audit uncovered biases in risk classifications against specific demographics and significant reliability issues. The findings call for fairer practices in criminal justice AI.
- Company involved
- Catalonia's criminal justice system
- AI system involved
- RisCanvi
4 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 →
Dutch probation service's OXREC algorithm flawed, leading to incorrect recidivism risk assessments
The Dutch Inspectorate of Justice and Security (Inspectie JenV) published a report finding that the probation service's (Reclassering) OXREC algorithm contains serious flaws, including swapped formulas and incorrect numbers, causing about a quarter of risk assessments to be wrong. The algorithm, used since 2018 for about 44,000 cases per year, also uses variables that can lead to discrimination, such as neighborhood score and income. The Inspectorate recommended immediate correction or temporary suspension. The probation service announced it would temporarily stop using OXREC.
- Company involved
- Reclassering Nederland
- AI system involved
- OXREC
4 source articles · read the reporting →
Singapore Firm Defrauded of $499K in Deepfake CEO Video Call Scam
In March 2025, a finance director at a multinational firm in Singapore authorised a US$499,000 payment during a Zoom call that appeared to include the company's CFO and other executives. The call was a deepfake, with AI-generated likenesses and voices. The fraudsters used the impersonation to request an urgent fund transfer for a purported acquisition. The company later discovered the deception and reported it to Singapore police.
2 source articles · read the reporting →
Scammers Use AI to Create Fake Joann Fabrics Websites to Steal Credit Card Data
After Joann Fabrics filed for bankruptcy in January 2025, scammers used AI to create impostor websites mimicking the retailer's site. These fake sites offered deep discounts to trick shoppers into providing credit-card information and personal data. Customers who placed orders never received products and had their payment information compromised. The incident highlights the growing use of AI by cybercriminals to create convincing fake websites.
2 source articles · read the reporting →
