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Closing the Health Policy Implementation Gap With Artificial Intelligence
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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…

JAMA Health Forum
Germany Tightens Reins on AI Content: Google and Perplexity in Spotlight
Evidence-backed problem

Germany Tightens Reins on AI Content: Google and Perplexity in Spotlight

Germany's media regulator has ruled that Google's AI Overviews and Perplexity AI must comply with the country’s media laws. The decision arises after a court held Google accountable for inaccuracies in AI-produced content, declaring AI summaries as proprietary rather than third-party material.

Germany Tightens Grip on AI-Generated Content: Google and Perplexity Under Scrutiny
Evidence-backed problem

Germany Tightens Grip on AI-Generated Content: Google and Perplexity Under Scrutiny

Germany's media regulator has decided that AI-generated content from Google and Perplexity AI falls under national media laws. A German court ruled Google directly liable for misinformation from its AI Overview feature, intensifying scrutiny of the technology. AI-produced content will be treated as originating from the providers themselves.

Policy

Beware of metacognitive laziness: Effects of generative artificial intelligence on learning motivation, processes, and performance

Abstract With the continuous development of technological and educational innovation, learners nowadays can obtain a variety of supports from agents such as teachers, peers, education technologies, and recently, generative artificial intelligence such as ChatGPT. In particular, there has been a surge of academic interest in human‐AI collaboration and hybrid intelligence in learning. The concept of hybrid intelligence is still at a nascent stage, and how learners can benefit from a symbiotic relationship with var…

Beware of metacognitive laziness: Effects of generative artificial intelligence on learning motivation, processes, and performance
Policy

AI Moderation and Legal Frameworks in Child-Centric Social Media: A Case Study of Roblox

This study focuses on Roblox as a case study to explore the legal and technical challenges of content moderation on child-focused social media platforms. As a leading Metaverse platform with millions of young users, Roblox provides immersive and interactive virtual experiences but also introduces significant risks, including exposure to inappropriate content, cyberbullying, and predatory behavior. The research examines the shortcomings of current automated and human moderation systems, highlighting the difficult…

AI Moderation and Legal Frameworks in Child-Centric Social Media: A Case Study of Roblox
Policy

Financial regulation reforms in China – can artificial intelligence be a gamechanger to more sustainable financial regulations

Over the past few years, China has seen a substantial change in financial rules. The country’s recent fundamental redesign of its supervision structure has resulted in a dramatically altered regulatory framework for banks and other financial services organizations operating in China. The National Financial Regulatory Administration (NFRA), China’s new super financial regulator, is revolutionizing regulating the financial sector. Except for the securities industry, all financial sectors are regulated by the centr…

Financial regulation reforms in China – can artificial intelligence be a gamechanger to more sustainable financial regulations
Policy

When Is a Decision Automated? A Taxonomy for a Fundamental Rights Analysis

Abstract This Article addresses the pressing issues surrounding the use of automated systems in public decision-making, specifically focusing on migration, asylum, and mobility. Drawing on empirical data, this Article examines the potential and limitations of the General Data Protection Regulation and the Artificial Intelligence Act in effectively addressing the challenges posed by automated decision-making (ADM). The Article argues that the current legal definitions and categorizations of ADM fail to capture th…

When Is a Decision Automated? A Taxonomy for a Fundamental Rights Analysis
Policy

Artificial Intelligence Adoption in SMEs: Survey Based on TOE–DOI Framework, Primary Methodology and Challenges

Despite the transformative potential of artificial intelligence (AI), small and medium-sized enterprises (SMEs) continue to face significant challenges in its effective adoption. While prior studies have emphasized strategic benefits and readiness models, there remains a lack of operational guidance tailored to SME realities—particularly regarding implementation barriers, resource constraints, and emerging demands for responsible AI use. This study presents an analysis of AI adoption in SMEs by integrating the t…

Artificial Intelligence Adoption in SMEs: Survey Based on TOE–DOI Framework, Primary Methodology and Challenges
Policy

Evaluating Trustworthiness in AI: Risks, Metrics, and Applications Across Industries

Ensuring the trustworthiness of artificial intelligence (AI) systems is critical as they become increasingly integrated into domains like healthcare, finance, and public administration. This paper explores frameworks and metrics for evaluating AI trustworthiness, focusing on key principles such as fairness, transparency, privacy, and security. This study is guided by two central questions: how can trust in AI systems be systematically measured across the AI lifecycle, and what are the trade-offs involved when op…

Evaluating Trustworthiness in AI: Risks, Metrics, and Applications Across Industries