CPS apologises after AI generates fake legal citations in court documents
The Crown Prosecution Service (CPS) used generative AI to draft court documents for extradition appeals, resulting in the inclusion of non-existent legal authorities. The error was identified by opposing counsel before the hearing and had no impact on the outcome. The CPS apologised to the High Court, attributing the mistake to a failure by a reviewing lawyer to verify the AI-generated content, and undertook an internal review to prevent recurrence. The judge accepted the apology and noted the serious risks of using AI without proper oversight.
- Company involved
- Crown Prosecution Service
1 source article · read the reporting →
ACLU Says in FTC Complaint That Aon’s AI Tools Discriminatory
The system screened out job applicants based on personality tests, video interviews, and cognitive assessments, affecting autistic, neurodivergent, and people of color.
- AI system involved
- ADEPT-15, gridChallenge
1 source article · read the reporting →
Resume prompt injection tricks AI hiring - moneywise.com
AI screening system determined which job applicants to advance to the next stage of recruitment.
1 source article · read the reporting →
Did IBM embed age discrimination in its AI-driven job screening software?
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.
- Company involved
- IBM
- AI system involved
- HR screening software
1 source article · 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 →
Henan Public Security Department Awards Mass Surveillance Project Targeting Journalists and Uyghurs
In 2021, the Henan Public Security Department awarded a contract to Neusoft for a surveillance system using Huawei cloud software. The system is designed to track and tag foreign journalists, foreign students, migrant women, and Uyghurs, with journalists labelled for potential punishment. IPVM and Reuters reported on the project, after which the tender was removed from public view. Huawei denied knowledge of the project, while Neusoft and PRC officials did not respond.
- Company involved
- Henan Public Security Department
3 source articles · read the reporting →
McKinsey's Lilli AI Platform Hacked, Exposing 46 Million Chat Messages
Security researchers at CodeWall used an autonomous offensive agent to discover a SQL injection vulnerability in McKinsey's internal AI platform, Lilli. The vulnerability allowed unauthenticated access to the production database, exposing 46.5 million chat messages, 728,000 files, and 57,000 user accounts. The researchers responsibly disclosed the issue to McKinsey, who patched the endpoints within days. No data was exfiltrated or misused, and no disruption occurred.
- Company involved
- McKinsey & Company
- AI system involved
- Lilli
1 source article · read the reporting →
Portland Water Bureau AI pilot offers discount to billionaire CEO
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.
- Company involved
- Portland Water Bureau
- AI system involved
- Smart Discount Program
1 source article · 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 →
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 →
LAUSD shelves AI chatbot after vendor AllHere collapses
Los Angeles Unified School District turned off its 'Ed' AI chatbot on June 14, 2024, after the vendor AllHere furloughed most staff due to financial collapse. The chatbot, which cost $3 million, was designed to provide students and parents with academic guidance and school information. A former AllHere employee alleged that student data was improperly shared with third parties and processed overseas, raising privacy concerns. The district stated it will ensure privacy protections and plans to eventually restore the chatbot.
- Company involved
- Los Angeles Unified School District
- AI system involved
- Ed
5 source articles · read the reporting →
Flawed AI System for Predicting Teen Pregnancy in Salta Raises Concerns
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.
- Company involved
- Ministerio de Primera Infancia de Salta
4 source articles · read the reporting →
DOGE's Flawed AI Tool Threatens Veterans Affairs Services
The Department of Government Efficiency developed an AI tool to identify unnecessary VA contracts, but it used outdated models and lacked context, leading to misclassification. At least 24 contracts were canceled, affecting cancer research and nurse care tools. The VA acknowledged the tool's role but stated all contracts undergo human review. Experts criticized the use of AI for such complex decisions.
- Company involved
- Department of Veterans Affairs
- AI system involved
- Muncher
2 source articles · read the reporting →
Durham Police uses Experian Mosaic data in HART AI risk tool
Durham Constabulary developed the Harm Assessment Risk Tool (HART), a machine learning algorithm that assesses the recidivism risk of offenders. The tool uses 34 data categories including criminal history, age, gender and two types of postcode, one sourced from Experian's Mosaic marketing segmentation system. Big Brother Watch alleges that using such commercial consumer behaviour data to inform custody decisions risks prejudice and disproportionate targeting of deprived neighbourhoods. The force has stated it is refreshing the model with an aim to remove one of the postcode predictors.
- Company involved
- Durham Constabulary
- AI system involved
- Harm Assessment Risk Tool (HART)
9 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 →
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 →
Barclays pilot of Sapience monitoring software causes employee stress
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.
- Company involved
- Barclays
- AI system involved
- Sapience employee monitoring software
10 source articles · read the reporting →
India mandates Aarogya Setu app for workers despite privacy concerns
The Indian government has made its Aarogya Setu COVID-19 contact tracing app mandatory for gig workers and government employees, despite widespread privacy and algorithmic accountability concerns. The app lacks transparency and data protection safeguards, and could misidentify individuals as at risk, leading to forced isolation and loss of income. A coalition of 37 organisations and 75 individuals sent a joint representation to the Prime Minister's Office urging that the app not be made mandatory and calling for financial relief and healthcare for workers.
- Company involved
- Government of India
- AI system involved
- Aarogya Setu
10 source articles · read the reporting →
UK councils use Covid OneView AI to harvest personal data for risk scoring
UK local authorities are using a system called Covid OneView, developed by data analytics firm Xantura, to harvest millions of personal details from council records. The system uses predictive analytics and AI to assign risk scores to households and individuals, aiming to identify those vulnerable to Covid or likely to break lockdown rules. Privacy campaigners and MPs have criticised the lack of transparency and the extent of data collection, which includes sensitive information such as debt levels, living arrangements, and even notes on unfaithful sex. Xantura and Barking and Dagenham Council have defended the system as compliant with data protection rules and focused on providing support.
- Company involved
- UK local authorities
- AI system involved
- Covid OneView
6 source articles · read the reporting →
PwC develops facial recognition tool to monitor employees working from home
Accounting giant PwC has developed a facial recognition tool that logs when employees are absent from their computer screens while working from home. The tool, intended for financial institutions, requires workers to provide written reasons for any absences, including toilet breaks. Commentators have criticised the tool as a huge invasion of privacy, with concerns about damage to trust and increased stress. PwC stated that the technology is designed to help regulated institutions meet compliance obligations and that voluntary consent of traders is essential.
- Company involved
- PwC
8 source articles · read the reporting →
Campaigners call for end to Home Office's IPIC 'robo-caseworker' AI tool
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.
- Company involved
- Home Office
- AI system involved
- IPIC (Identify & Prioritise Immigration Cases)
9 source articles · read the reporting →
EPIC lawsuit challenges USPS secret surveillance program using facial recognition
The United States Postal Service's law enforcement wing, the Postal Inspection Service, ran a secret surveillance program called the Internet Covert Operations Program (iCOP) that used facial recognition from Clearview AI and social media monitoring tools to infiltrate online communities and monitor protests. The Electronic Privacy Information Center (EPIC) sued the USPS for failing to conduct and publish a privacy impact assessment as required by the E-Government Act. A federal district court dismissed the lawsuit on standing grounds, ruling that EPIC did not suffer a cognizable injury from the agency's refusal to disclose information about the program.
- Company involved
- United States Postal Service
- AI system involved
- Internet Covert Operations Program (iCOP)
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 →
