Incidents gathered from public reporting around the world. Each one links to the articles it came from. None of it is a finding that anyone broke the law.
Reports people file about their own experience are not shown here and never will be without their agreement. Tell us what happened to you.
44 incidents closest to “Cúram Social Program Management” · matched on meaning · public reporting
Daniel Swanson, a 24-year IBM manager in Austin, sued IBM in federal court, saying he was fired at 48 and then rejected for other roles because IBM's AI-driven HR screening software was programmed to favour younger workers. IBM denies the claims.
1 source article · read the reporting →
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.
1 source article · read the reporting →
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.
6 source articles · read the reporting →
The Canada Revenue Agency's chatbot Charlie, launched in 2020, has cost over $18 million but frequently provides incorrect answers, according to an Auditor General audit. Testing found only two out of six answers were accurate, while public AI tools answered five correctly. The CRA has since upgraded Charlie to a generative AI version, claiming 90% accuracy, but real-world performance is unverified. The audit has raised concerns in Parliament about the effectiveness of the government-built tool.
2 source articles · read the reporting →
The Portland Water Bureau used a machine learning system in a randomised control trial to identify customers for its financial assistance programme. The system selected Columbia Sportswear CEO Tim Boyle, a billionaire and one of the city's largest residential water consumers, for a 40% water bill discount. Boyle declined the discount, stating it should go to someone who needs it. The bureau is testing whether the SERVUS algorithm can accurately identify customers' ability to pay.
1 source article · read the reporting →
Trelleborg municipality in Sweden introduced a fully automated system named Ernst to handle welfare applications. An analysis of the system's source code, obtained via a freedom of information request, revealed that the names and social security numbers of approximately 250 people were included in the code since its introduction, making them visible to anyone who filed a request. The municipality is investigating the leak, which is also the subject of a complaint to the Swedish Parliamentary Ombudsman.
10 source articles · read the reporting →
Internal IBM documents reveal that its Watson for Oncology system often provided erroneous cancer treatment advice, including 'multiple examples of unsafe and incorrect treatment recommendations'. The problems were attributed to training on a small number of synthetic cases and the expertise of a few specialists rather than real patient data or established guidelines. The system was promoted to hospitals and physicians worldwide. It is unclear whether any patients were harmed as a result.
2 source articles · read the reporting →
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.
10 source articles · read the reporting →
In 2018, the Governor of Salta, Argentina, announced a pilot program using artificial intelligence to predict which adolescent girls would become pregnant, claiming 86% accuracy. Researchers at the Laboratorio de Inteligencia Artificial Aplicada found serious methodological errors, including data leakage that inflated accuracy and the use of inadequate survey data. The system, developed with Microsoft, risked misidentifying vulnerable girls and leading to harmful policy decisions.
4 source articles · read the reporting →
The Council of Europe Human Rights Commissioner reported that Estonia's social security system used AI to establish incapacity levels and remove benefits from elderly people without human involvement. The system allegedly made decisions automatically, leading to complaints from NGOs.
8 source articles · read the reporting →
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.
3 source articles · read the reporting →
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 →
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.
4 source articles · read the reporting →
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.
2 source articles · read the reporting →
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.
10 source articles · read the reporting →
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.
5 source articles · read the reporting →
Barclays introduced a pilot of employee monitoring software from Sapience in its product control department at Canary Wharf. The system monitors computer activity and admonishes staff if they are not deemed active enough, recording breaks as "unaccounted activity". Employees reported significant stress and worry about taking breaks. Barclays acknowledged the pilot and said it would listen to feedback.
10 source articles · read the reporting →
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.
10 source articles · read the reporting →
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.
10 source articles · read the reporting →
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.
10 source articles · read the reporting →
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.
10 source articles · read the reporting →
Migrants' rights campaigners have called for the UK government to stop using the IPIC (Identify & Prioritise Immigration Cases) AI system, which automatically identifies and recommends migrants for immigration decisions or enforcement action. Privacy International and the Migrants' Rights Network have raised concerns that the system could lead to racial bias and the 'rubberstamping' of algorithmic recommendations by caseworkers. The campaigners argue that people going through the immigration system may not know their information has been processed by an algorithm. The Home Office has not directly responded to the specific concerns, though Science Secretary Peter Kyle has defended the safe development of AI in public services.
9 source articles · read the reporting →
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.
10 source articles · read the reporting →
The Spanish NGO Civio won a Supreme Court case forcing the government to release the source code of BOSCO, the algorithm that decides eligibility for the social electricity bonus (bono social eléctrico). Civio had demonstrated in 2019 that BOSCO contained serious errors that denied the benefit to vulnerable people who met the requirements. The government had refused to disclose the code, citing intellectual property. The Supreme Court ruled that transparency must prevail, setting a precedent for public access to automated decision-making systems.
10 source articles · read the reporting →
