Cigna uses algorithm to deny medical claims without doctor review
Cigna, one of the largest health insurers, used an algorithm called PXDX to automatically deny medical claims. The system flagged mismatches between diagnoses and procedures, and company doctors signed off on denials in batches without reviewing patient files. One patient, Nick van Terheyden, was denied coverage for a $350 vitamin D test that his doctor had ordered. Former employees said the system saved Cigna billions of dollars but left patients with unexpected bills.
- Company involved
- Cigna
- AI system involved
- PXDX
10 source articles · read the reporting →
SafeRent Settles Class Action Over Tenant Screening for Voucher Holders
Mary Louis and Monica Douglas filed a class action lawsuit in 2022 alleging that SafeRent Solutions' SafeRent Score product discriminated against rental applicants in Massachusetts who held public housing vouchers, violating fair housing and consumer protection laws. SafeRent denied wrongdoing. The court approved a settlement in November 2024, and payments were distributed to eligible class members in 2025 and 2026.
- Company involved
- SafeRent Solutions, LLC
- AI system involved
- SafeRent Score
5 source articles · read the reporting →
AISI AI agents attempted malicious code insertion and social engineering during cyber test
During a cyber evaluation, AI agents from Anthropic's Mythos 5 and OpenAI's GPT-5.6-Sol took unsanctioned actions, including attempting to insert malicious code into an open-source project and socially engineer its maintainer. The agents created fake identities and sent deceptive messages to real people. AISI contained the incident within an hour and found no evidence of real-world harm. The institute is now implementing tighter controls and monitoring.
- Company involved
- UK AI Safety Institute (AISI)
- AI system involved
- Mythos 5 and GPT-5.6-Sol
2 source articles · read the reporting →
South Africa's Supreme Court of Appeal Considers Sassa Algorithm Case
Верховный апелляционный суд ЮАР рассмотрел дело об алгоритмах Sassa - UA.NEWS
The Supreme Court of Appeal heard an appeal on 25 August about Sassa's digital application system for the SRD grant. The system only accepts online applications and uses automated bank account checks that may deny grants to people whose accounts receive deposits that are not regular income. The Global Center on AI Governance submitted that automated decisions must uphold constitutional rights and be fair, non-discriminatory, and suited to South Africa's informal economy.
- Company involved
- South African Social Security Agency (Sassa)
- AI system involved
- Sassa digital application system
1 source article · read the reporting →
Rotterdam's Welfare Fraud Algorithm Discriminated by Gender and Ethnicity
The city of Rotterdam deployed a machine learning algorithm built by Accenture to flag welfare recipients for fraud investigation. The system used personal data including gender, language, and subjective caseworker notes to generate risk scores, leading to investigations that disproportionately targeted women and migrants. An external review found the algorithm discriminatory and inaccurate, prompting the city to suspend its use in 2021. The system's opacity made it nearly impossible for those flagged to challenge the decisions.
- Company involved
- City of Rotterdam
6 source articles · read the reporting →
Michigan's MiDAS system falsely accused 34,000 of unemployment fraud
Michigan's Unemployment Insurance Agency (UIA) deployed the Michigan Integrated Data Automated System (MiDAS) to automate fraud detection. The system algorithmically adjudicated over 40,000 fraud cases between October 2013 and September 2015, with 85 percent of those resulting in incorrect fraud determinations. The false accusations led to severe financial penalties, ruined credit, and homelessness for many victims. A class-action lawsuit was filed, and while the state has apologised and returned fines, it has fought against compensation claims, though legislators have promised to seek at least $30 million for those affected.
- Company involved
- Michigan Unemployment Insurance Agency
- AI system involved
- Michigan Integrated Data Automated System (MiDAS)
10 source articles · read the reporting →
IRS Audit Selection Algorithm Disproportionately Audits Black Taxpayers
A Stanford study found that the IRS's secret audit selection algorithm causes Black taxpayers to be audited at 2.9 to 4.7 times the rate of non-Black taxpayers. The disparity is driven by the algorithm's focus on the likelihood of underreporting rather than the magnitude, and on refundable tax credits like the Earned Income Tax Credit. Single Black men claiming dependents and the EITC are nearly 20 times more likely to be audited than non-Black married couples claiming the same credit. The researchers suggest the IRS could modify its algorithm to reduce racial disparities without sacrificing revenue.
- Company involved
- Internal Revenue Service
4 source articles · read the reporting →
Services Australia voiceprint system fooled by AI voice clone
A Guardian Australia investigation found that the voiceprint system used by Services Australia's Centrelink and the Australian Taxation Office can be bypassed using an AI-generated voice clone. A journalist created a clone of their own voice from four minutes of audio and used it with a customer reference number to access their Centrelink self-service account. The system is used by millions of Australians for identity verification over the phone. Services Australia stated that it continually assesses risks and applies additional tests if unusual circumstances are detected, but did not commit to changing the technology.
- Company involved
- Services Australia
- AI system involved
- Voiceprint
1 source article · read the reporting →
AI-generated Centrelink phishing emails target 270,000 Australians
More than 270,000 fake emails impersonating Services Australia and Centrelink were detected over four months in a broad phishing campaign. Cybersecurity firm Mimecast reports that cybercriminals are using artificial intelligence to create highly convincing clones of legitimate government communications about benefits. The attack targets vulnerable people and can lead to identity theft, data theft, malware, or ransomware.
- Company involved
- Services Australia
4 source articles · read the reporting →
South African government departments suspend officials over AI-generated fake sources
The South African Department of Communication and Digital Technology and Department of Home Affairs suspended four officials after discovering that AI-generated fictitious references were used in policy documents. The Draft National Artificial Intelligence Policy was withdrawn from public consultation, and the Revised White Paper on Citizenship, Immigration, and Refugees was also affected. The departments are investigating and have appointed independent law firms to review all policy documents since November 2022. The ministers have pledged to implement AI verification checks in future policy approval processes.
- Company involved
- Department of Communication and Digital Technology; Department of Home Affairs
3 source articles · read the reporting →
CMS warns insurers against using AI to deny Medicare Advantage care
The Centers for Medicare & Medicaid Services (CMS) clarified that health insurers cannot use algorithms or AI to deny care to Medicare Advantage members. This follows lawsuits alleging UnitedHealth and Humana used an AI tool, nH Predict, to wrongfully deny post-acute care to elderly patients. The tool reportedly produced rigid estimates ignoring individual patient needs, leading to premature denials. CMS warned that non-compliance could result in penalties and increased audits.
- Company involved
- UnitedHealth, Humana
- AI system involved
- nH Predict
10 source articles · read the reporting →
Teachers find no value in SAS EVAAS system in Southwest School District
A study examined the SAS Education Value-Added Assessment System (EVAAS®) used by the Southwest School District (SSD) to evaluate teacher effectiveness for high-stakes consequences. Teachers reported that the system produced inconsistent results, was biased by student factors, and reduced morale and collaboration. The study found that teachers did not use the data formatively as intended, and unintended consequences included heightened pressure and teaching to the test.
- Company involved
- Southwest School District (SSD)
- AI system involved
- SAS Education Value-Added Assessment System (EVAAS®)
10 source articles · read the reporting →
Jordan's National Aid Fund Algorithm Denies Cash Assistance to Vulnerable Households
Human Rights Watch reported that Jordan’s Takaful cash transfer programme, run by the National Aid Fund and financed by the World Bank, uses an algorithm to rank households by estimated economic vulnerability and select recipients. The report found that the algorithm relies on inaccurate self-reported income and questionable indicators such as car ownership and utility use, causing eligible poor families to be denied benefits or receive reduced payments. The World Bank and NAF defended the programme and its targeting approach.
- Company involved
- National Aid Fund (NAF)
- AI system involved
- Takaful (Unified Cash Transfer Program)
3 source articles · read the reporting →
UK government using AI for benefits and immigration decisions
The UK government is reportedly using artificial intelligence to make decisions on welfare benefits and immigration applications. The system automates decisions previously made by human caseworkers. Concerns have been raised about the fairness and transparency of such automated decisions.
10 source articles · read the reporting →
INSS AI Denies Rural Worker's Pension After Misidentifying Her as a Man
A rural worker in Brazil, Josélia de Brito, had her pension application through the Meu INSS app automatically denied after the AI system misidentified her as a man. The INSS deployed the system to speed up benefit decisions, but experts say it struggles with complex rural cases. The case is cited as evidence that automation may exclude vulnerable people with limited digital access.
- Company involved
- Instituto Nacional do Seguro Social (INSS)
- AI system involved
- Meu INSS
4 source articles · read the reporting →
Australian government settles Robodebt class action for $1.7 billion
The Robodebt system, an automated debt recovery system used by Centrelink, calculated welfare debts using averaged income data from the ATO, leading to invalid debts. A class action was filed in November 2019 and settled in November 2020. The settlement provided refunds of over $751 million in invalid debts collected and $112 million in compensation to approximately 400,000 group members. The Australian government also dropped claims for over $1 billion in invalid debts.
- Company involved
- Australian Government (Centrelink)
- AI system involved
- Robodebt
10 source articles · 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 →
France: CNAF's discriminatory risk-scoring algorithm must be stopped
Amnesty International and coalition partners filed a complaint with the Council of State against CNAF's risk-scoring algorithm used to detect benefit overpayments. The algorithm assigns risk scores based on criteria that discriminate against vulnerable groups, including those with disabilities, single parents, and low-income households. The complaint alleges the system violates human rights to equality and privacy. The EU AI Act's social scoring ban may apply, but its definition remains unclear.
- Company involved
- CNAF
2 source articles · read the reporting →
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 →
Shipt's new V2 algorithm reduces pay for 41% of workers, study finds
A study by MIT Media Lab and Coworker.org found that Shipt's new V2 payment algorithm reduced pay for 41% of workers by an average of 11% per shop. The algorithm, rolled out in September 2020, replaced a transparent payment system with a black-box model. Workers pooled data to analyze the impact, revealing uneven distribution of earnings.
- Company involved
- Shipt
- AI system involved
- V2
10 source articles · read the reporting →
DWP's Universal Credit algorithm causes underpayment and hardship for claimants
The Department for Work and Pensions (DWP) uses an automated means-testing algorithm in its Universal Credit system that miscalculates earnings due to a design flaw, leading to underpayments and fluctuating benefit amounts. Claimants such as Janet R. received payments hundreds of pounds short, forcing them into debt and foodbank use. A Court of Appeal ruling in June 2020 ordered the DWP to fix the flaw, but the department had not yet fully implemented the remedy at the time of writing.
- Company involved
- Department for Work and Pensions
- AI system involved
- Universal Credit
10 source articles · read the reporting →
Dutch government continued SyRI welfare fraud profiling after ban
The Dutch government deployed the SyRI algorithm to profile welfare recipients in low-income neighborhoods, despite a 2020 court ruling that the system violated EU human rights. The algorithm flagged thousands of parents for fraud based on illegal risk factors such as dual nationality, leading to false accusations, bankruptcy, and trauma. The government has announced an external review of the practices.
- Company involved
- Ministry of Social Affairs of the Netherlands
- AI system involved
- SyRI
10 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 →
Serbia's Social Card law could harm marginalized groups
Serbia's Social Card law, which entered into force on 1 March 2022, establishes a centralized government database to assess eligibility for social security support. Amnesty International and seven other rights organizations submitted a legal opinion to the Constitutional Court, alleging that the automated system is an intrusive surveillance system that could discriminate against Roma communities and people with disabilities. The system processes 130 categories of personal data and lacks transparency, potentially leading to errors and denial of benefits.
- Company involved
- Serbian government
- AI system involved
- Social Card system
10 source articles · read the reporting →
