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 →
Idaho Medicaid used secret formula to cut assistance for disabled adults
The Idaho Department of Health and Welfare used a secret formula to drastically cut Medicaid assistance for adults with developmental disabilities, claiming the formula was a trade secret. The ACLU of Idaho filed a class action lawsuit, K.W. v. Armstrong, in 2012, alleging the cuts violated due process. A federal court struck down the formula in 2016 and ordered a new system, but as of 2024, a fair system has not yet been implemented.
- Company involved
- Idaho Department of Health and Welfare
10 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 →
Met Police scraps gang violence matrix after discrimination concerns
The Metropolitan Police scrapped its Gangs Violence Matrix (GVM) database after over a decade, following concerns about racial disproportionality. The tool was used to identify individuals at risk of gang violence in London and disproportionately affected young black men, impacting their housing, education, benefits, employment, and legal rights. A legal challenge by charity Liberty on behalf of musician Awate Suleiman led to an agreement to overhaul the system, and it has now been replaced with a Violence Harm Assessment (VHA) tool.
- Company involved
- Metropolitan Police Service
- AI system involved
- Gangs Violence Matrix (GVM)
10 source articles · read the reporting →
Deloitte to refund Australian government after AI-generated report errors
Deloitte used generative AI (Azure OpenAI GPT-4o) to help produce an independent assurance review for Australia's Department of Employment and Workplace Relations. The report, published in July 2025, contained multiple errors including non-existent academic references and a fabricated court case. After the errors were flagged, Deloitte acknowledged the AI use and agreed to refund the final instalment of the A$439,000 contract. The report was corrected, but its substance and recommendations remained unchanged.
- Company involved
- Deloitte
- AI system involved
- Azure OpenAI GPT-4o
5 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 →
Microsoft removes user names from Productivity Score after privacy backlash
Microsoft rolled out its Productivity Score feature in Microsoft 365 in October 2020, which allowed managers to see individual employee data on email, chat, and meeting usage. Privacy experts criticized it as a workplace surveillance tool. After backlash, Microsoft removed user names and changed the feature to aggregate data at the organization level only.
- Company involved
- Microsoft
- AI system involved
- Productivity Score
8 source articles · read the reporting →
Austrian court lifts ban on AMS job-chance prediction algorithm
The Austrian Federal Administrative Court overturned a ban by the Data Protection Authority on the AMS algorithm, which predicts job chances of unemployed people. The system, trained on historical data including age, gender, and nationality, categorises individuals as high, medium or low chance of re-employment. Critics argue it discriminates against women and mothers, and that the data is now outdated due to the COVID-19 pandemic. The court ruled that the algorithm is lawful as long as a human advisor makes the final decision on training support.
- Company involved
- Arbeitsmarktservice (AMS)
- AI system involved
- AMS-Algorithmus
5 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 →
Momus Analytics' jury-selection algorithm criticised for racial bias
Momus Analytics, a legal technology company, uses machine learning to rank potential jurors for attorneys. Experts and researchers who reviewed the company's patent application say the algorithm relies on demographic characteristics such as race, which may violate constitutional prohibitions against discriminatory jury selection. The company claims its software has helped secure verdicts worth over $940 million, but did not respond to requests for comment.
- Company involved
- Momus Analytics
- AI system involved
- Momus
9 source articles · read the reporting →
Allstate's proposed retention model charged big spenders more in Maryland
Allstate proposed an auto insurance rate adjustment plan in Maryland using a retention model algorithm that varied premium changes based on existing premiums. The algorithm would have increased rates up to 20% for customers already paying the highest premiums while capping increases at 5% for others, and would have denied meaningful discounts to thousands owed reductions. The Maryland Insurance Administration rejected the plan as discriminatory, but Allstate claims it was withdrawn and has continued proposing similar models elsewhere. The proposal never took effect in Maryland.
- Company involved
- Allstate Corporation
- AI system involved
- retention model
9 source articles · read the reporting →
New York City's McKinsey-led jail violence program manipulated data, violence increased
New York City paid McKinsey & Company $27.5 million to reduce violence at Rikers Island jail complex. McKinsey designed a predictive algorithm called the Housing Unit Balancer and Restart housing units, but jail officials and McKinsey consultants stacked the units with compliant inmates to artificially lower violence numbers. Violence actually increased by nearly 50% during the project. The city eventually decided to close Rikers.
- Company involved
- New York City Department of Correction
- AI system involved
- Housing Unit Balancer (HUB)
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 →
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 →
Meta's content moderation errors during May 2021 Israel-Palestine escalation
During the May 2021 escalation of violence in Israel and Palestine, Meta's automated content moderation systems temporarily restricted access to the al-Aqsa hashtag page and under-enforced rules against incitement to violence against Israelis and Jews. An independent due diligence report commissioned by Meta found that these systems had an unintentional impact on Palestinian and Arab communities' freedom of expression. Meta has committed to implementing several recommendations, including improving machine learning classifiers and keyword review processes.
- Company involved
- Meta
- AI system involved
- Facebook and Instagram content moderation systems
10 source articles · read the reporting →
USPS algorithm RRECS causes pay cuts for two-thirds of rural mail carriers
The United States Postal Service (USPS) implemented a new algorithm, RRECS, to evaluate rural carrier routes and determine pay. Due to flaws in how carriers scanned packages, the algorithm underestimated route times, resulting in pay cuts for 66 per cent of rural carriers, some losing thousands of dollars annually. Carriers report that they were not adequately trained on the system and that the cuts are scheduled to take effect, though they have been postponed multiple times. The USPS stated that the system is the result of a nationally negotiated agreement.
- Company involved
- United States Postal Service
- AI system involved
- RRECS
9 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 →
Met Police buys £3m retrospective facial recognition system
The Metropolitan Police Service (MPS) has awarded a £3 million, four-year contract to Northgate Public Services for a new retrospective facial-recognition (RFR) system to be deployed within three months. RFR processes biometric information from historic CCTV, social media, and other images to identify suspects and missing persons, operating retroactively unlike live facial recognition. The procurement was approved by the Mayor's Office for Policing and Crime in August 2021. The MPS states that human-in-the-loop decision-making will be used, but digital rights groups and a former biometrics commissioner have raised concerns about potential discrimination, overrepresentation of marginalised groups in watch lists, and lack of a legislative framework.
- Company involved
- Metropolitan Police Service
- AI system involved
- Retrospective facial-recognition software
9 source articles · read the reporting →
Haryana government's algorithm wrongly declares thousands dead, stops pensions
The Haryana state government's Family Identity Data Repository (PPP) algorithm wrongly declared thousands of elderly and widowed citizens as dead, stopping their pensions. Dhuli Chand, a 102-year-old man, had to stage a mock wedding procession to prove he was alive after his pension was cut for six months. The government acknowledged the errors and corrected some records, but many still face difficulties.
- Company involved
- Haryana state government
- AI system involved
- Family Identity Data Repository (Parivar Pehchan Patra or PPP)
6 source articles · read the reporting →
Meta tracks employee keystrokes on Google, LinkedIn, Wikipedia for AI training
Meta is using an internal tool, Model Capability Initiative (MCI), to capture employees' keystrokes, mouse movements and screen contents on work computers, including on sites such as Google, LinkedIn, Wikipedia and Slack, to train AI agents. Meta confirmed the project and said safeguards protect sensitive content and that the data is not used for other purposes. Employees raised concerns in internal messages that the tool could expose passwords, product details and personal information. A Meta memo said staff can avoid capture by not doing personal work on work computers.
- Company involved
- Meta
- AI system involved
- Model Capability Initiative (MCI)
5 source articles · read the reporting →
Teething problems in Mater Dei's medicine robots addressed
The Malta Union for Midwives and Nurses claimed that a €23 million investment in two computerised drug administration robots, Mario and Sophia, at Mater Dei Hospital had resulted in a complete failure. However, sources within the Health Ministry said that most teething problems have been addressed and that the supplier has not been paid yet. They reported that out of over 1,700 medication rounds, only four required a contingency plan.
- Company involved
- Mater Dei Hospital
- AI system involved
- Mario and Sophia
6 source articles · read the reporting →
