± HEALTH Adequate self-harm surveillance is a key part of suicide prevention. Our previous research demonstrated that…± HEALTH Breast cancer remains the most commonly diagnosed malignancy among women globally, with disproportionately hi…+ HEALTH Background The prevalence of depression is higher among older adults with chronic diseases and cognitive impa…± HEALTH Purpose To compare the information quality, accuracy, and readability of patient-directed responses generated…± HEALTH Objective Comparative evaluations of machine learning (ML) and logistic regression (LR) for clinical predicti…± HEALTH Introduction Alzheimer's disease (AD) is a progressive neurodegenerative disorder for which early diagnosis-p…+ HEALTH Background Accurate identification of ganglionated bowel is essential during laparoscopic pull-through for Hi…+ CLIMATE Accurate prediction of ash fusion temperatures (AFTs) is crucial for ensuring the operational efficiency and…
TruaceTracing the truth around AIMonday, September 14, 2026
Subscribe

Policy

AllRegulation & StandardsElections & SpeechCourts & LiabilityDefense & Security

71 stories · page 1 of 5

Both readings

Gavin Newsom imposes strict new rules on AI, social media and chatbots for children

California has adopted what Gavin Newsom described as “nation-leading” legislation that bans addictive social media features for young users, regulates companion chatbots and implements new safeguards around AI. The laws, signed by the Democratic California governor on Thursday, include AB 1709, which bars social media companies from using infinite scroll and autoplay for users under 16. “This is about actually addressing the problem, the scrolling, the algorithms. This is about addressing the substantive issue…

The Guardian · Policy

Gavin Newsom imposes strict new rules on AI, social media and chatbots for children
Artificial intelligence in language instruction: impact on English learning achievement, L2 motivation, and self-regulated learning
Evidence-backed gain

Artificial intelligence in language instruction: impact on English learning achievement, L2 motivation, and self-regulated learning

Introduction: This mixed methods study examines the effects of AI-mediated language instruction on English learning achievement, L2 motivation, and self-regulated learning among English as a Foreign Language (EFL) learners. It addresses the increasing interest in AI-driven educational technologies and their potential to revolutionize language instruction. Methods: Two intact classes, consisting of a total of 60 university students, participated in this study. The experimental group received AI-mediated instructi…

Policy
WATCH: AI Video Shows Pune's 'No DJ' Activist Vidyanand Bapat Dancing To DJ Beats; Clip Goes Viral
Evidence-backed problem

WATCH: AI Video Shows Pune's 'No DJ' Activist Vidyanand Bapat Dancing To DJ Beats; Clip Goes Viral

A viral video purportedly showing Pune activist Vidyanand Bapat dancing to DJ music is reportedly AI-generated. The clip was played on a large LED screen during a Dahi Handi event and later circulated online. Bapat recently demanded restrictions on DJs and high-decibel sound systems during Ganeshotsav, triggering opposition from several Ganesh mandal workers in Pune.

Policy
Multimodal Graph Neural Networks and Evolutionary Knowledge Fusion for Secure and Explainable Governance in Intelligent IoT Interactive Media Systems
Evidence-backed problem

Multimodal Graph Neural Networks and Evolutionary Knowledge Fusion for Secure and Explainable Governance in Intelligent IoT Interactive Media Systems

This research proposes a secure, explainable, and context-aware governance framework for blockchain-based digital media contracts in multimodal artificial intelligence-enabled AIoT interactive systems. As digital licensing, NFT copyright management, royalty distribution, and cross-chain content circulation become increasingly embedded in smart media ecosystems, existing contract auditing approaches remain limited by unimodal analysis, weak explainability, black-box decision processes, and insufficient cross-plat…

Policy
Advanced AI threatens global financial stability, says Bank of England boss
Evidence-backed problem

Advanced AI threatens global financial stability, says Bank of England boss

The Bank of England’s governor, Andrew Bailey, has joined the throng of figures warning about the global risks posed by the most advanced artificial intelligence technology. In a two-page letter sent to international finance ministers and central bank governors as part of his role as chair of the international Financial Stability Board (FSB), Bailey said “frontier” AI models were “showing increasingly sophisticated autonomy and problem-solving abilities, as well as threat capabilities”. He said the models risked…

Policy
AI-Enabled Real-World Evidence in Oncology: A Statistical Perspective for Regulatory Decisions
Evidence-backed gain

AI-Enabled Real-World Evidence in Oncology: A Statistical Perspective for Regulatory Decisions

Artificial intelligence (AI) has the potential to strengthen real-world evidence (RWE) for regulatory decision-making, but its contribution varies by application and methodological maturity. RWE remains limited by challenges in data quality, population selection, treatment characterization, outcome assessment, and statistical methodology. Machine learning and generative AI (genAI), combined with causal inference frameworks, may address these challenges. We review applications, limitations, including reproducibil…

Policy

The Rise and Fall of the Artificial State by Jill Lepore review – an ominous warning of tech takeover

Pulitzer prize-winning US historian Jill Lepore’s new book addresses the threat posed to liberal democracy by artificial intelligence. According to Lepore, the extraordinary power of private tech companies led by men whose priorities may not align with the wellbeing of the Earth or its inhabitants is set to destroy civilisation as we know it. Lepore’s concept of the Artificial State is capacious. It includes both a fantasy desired by a select few and a reality that is already with us. The fantasy is of an atomis…

Policy
The Rise and Fall of the Artificial State by Jill Lepore review – an ominous warning of tech takeover

Regulatory Research Priorities for AI Use in the Medicine Lifecycle: A European Perspective with Global Relevance

Regulatory bodies play a central role in providing guidance that enables safe and effective use of artificial intelligence tools in medicine development and evaluation. Regulators can also act as catalysts for regulatory science research. To inform these efforts, a European-wide survey was conducted to solicit stakeholder perspectives on the priority areas for regulatory science research related to the use of artificial intelligence in the medicine lifecycle. Twenty-eight regulatory science research questions we…

Policy
Regulatory Research Priorities for AI Use in the Medicine Lifecycle: A European Perspective with Global Relevance

Reframing risk management for AI-enabled medical devices: A dual-layer risk governance framework

BackgroundAI-enabled medical devices introduce dynamic, data-dependent risks that challenge traditional safety-risk management frameworks. While ISO 14971, AAMI CR34971, and the EU Artificial Intelligence Act each address elements of device safety and algorithmic governance, they remain fragmented when applied. This review examines conceptual and operational gaps in current approaches and proposes an integrated governance model for AI-specific safety-risk management.MethodsA structured narrative review was condu…

Policy
Reframing risk management for AI-enabled medical devices: A dual-layer risk governance framework

Efficient video-based traffic conflict prediction and interpretable risk analysis at signalized intersections via deep learning

Objectives To achieve accurate and real-time prediction of traffic conflicts at signalized intersections and identify their key contributing factors, thereby supporting proactive safety management and reducing accident risks. Methods This study proposes a novel multi-stage traffic-conflict prediction framework that integrates a real-time video image processing system and an advanced conflict-prediction model. Specifically, a real-time video analysis system integrating the YOLOv8 object detection framework and th…

Policy
Efficient video-based traffic conflict prediction and interpretable risk analysis at signalized intersections via deep learning

Zuckerberg pushes ‘superintelligent’ AI for all as Meta drops open-source model

Mark Zuckerberg published a lengthy essay on Monday detailing his views on artificial intelligence and announced several plans for how Meta would develop the technology in the future. The CEO’s essay went online the same day as Meta released a new, open-source AI model that seeks to rival Anthropic and OpenAI’s products called Muse Glimmer. Over the course of more than 6,000 words in a post titled “The Future is for Everyone,” Zuckerberg addressed a range of topics related to AI that included datacenters, govern…

Policy
Zuckerberg pushes ‘superintelligent’ AI for all as Meta drops open-source model

Regulating Manipulative Design Is Not Preempted by CDA 230 or the First Amendment

For over two decades, there has been a heated debate among legal scholars, activists, judges, and others about the scope of Section 230 of the Communications Decency Act. A persistent theme in those debates has been hyperbolic claims about the necessity of immunity from state laws for digital tech platforms and fearmongering that anything less than maximum immunity will destroy the Internet. This Article argues that states retain considerable discretion to regulate digital platforms’ design and engineering decis…

Policy
Regulating Manipulative Design Is Not Preempted by CDA 230 or the First Amendment

Closing the Health Policy Implementation Gap With Artificial Intelligence

Health care policies often fail to achieve their goals due to implementation challenges attributable to workforce constraints, fragmented health information systems, and administrative complexity. This Special Communication proposes a framework for how artificial intelligence (AI) tools could support effective health care policy implementation, using the implementation of Medicaid work requirements under the Budget Reconciliation Act of 2025 as an example. Opportunities for AI-augmented health care policy implem…

Policy
Closing the Health Policy Implementation Gap With Artificial Intelligence