+ HEALTH Background Discharge letters are essential for continuity of care, yet patients often misunderstand their con…± HEALTH Hematoxylin and Eosin (H&E) glass slide preparation is fundamental to histopathology. Pathologists' expertise…+ CLIMATE Traditional soil heavy metal risk assessments suffer from fragmented indices and poor logical integration. Co…± HEALTH Background Neonatal pneumothorax can progress rapidly, yet detection on supine chest radiographs remains chal…+ HEALTH T cell exhaustion has widespread implications for the progression and treatment of chronic diseases including…+ HEALTH Background Standard pulmonary arterial hypertension (PAH) risk models may not fully apply to PAH associated w…+ HEALTH Objectives To map and synthesize the scientific evidence regarding the use of Augmented Reality (AR) and Mixe…± HEALTH Objective To examine whether the outputs of machine learning algorithms designed to predict risk of cardiovas…
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Evidence-backed problem

Artificial intelligence, work, and structural inequality: Why human-centric AI requires institutional architecture, not just ethics

BackgroundThe rapid integration of artificial intelligence (AI) into labour markets, migration governance, and social protection systems is increasingly reshaping how institutional decisions are produced, delegated, and enforced. While human-centric and ethics-based AI frameworks have established important normative principles, concerns regarding inequality, opacity, and accountability in AI-mediated decision-making continue to persist across labour-related environments.ObjectiveThis article examines why ethical…

WORK: A Journal of Prevention, Assessment & Rehabilitation · Policy

Artificial intelligence, work, and structural inequality: Why human-centric AI requires institutional architecture, not just ethics
Smart elections or rigged algorithms: the rise of artificial intelligence in electoral governance in Southeast Asia
Both readings

Smart elections or rigged algorithms: the rise of artificial intelligence in electoral governance in Southeast Asia

Introduction Introducing Artificial Intelligence AI into electoral-management infrastructure has radically transformed the administrative practice in Southeast Asian democracies through streamlining voter registration, consolidating identification, and making the real-time observation of the electoral events possible. Although the benefits of AI are undoubtedly tangible in terms of efficiency, transparency, and accessibility, its appearance in contexts where such regulatory sanitation is antithetical presents sh…

Policy
From bones to bytes: anticipating and addressing the governance challenges of human digital remains and posthumous digital human twins
Both readings

From bones to bytes: anticipating and addressing the governance challenges of human digital remains and posthumous digital human twins

Abstract During the nineteenth century, advances in medical research led to grave robbing and an illicit market in human biological remains (HBR). The historical episode of grave robbing illustrates how science can upend social norms. A similar scenario could soon emerge, but this time it will not be with people's biological remains, but with people's digital remains. Artificial intelligence and extended reality now create digital representations from avatars to human digital twins. In addition to the sophistica…

Policy
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.

Policy
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…

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

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…

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

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…

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

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…

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

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…

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

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…

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

The Impact of Artificial Intelligence on Public Sector Decision- Making: Benefits, Challenges, and Policy Implications

Artificial intelligence (AI) is increasingly transforming government decision-making processes. This article presents a systematic literature review of 43 studies (2020-2025) examining AI’s impact on public-sector decision-making, delineating its advantages, disadvantages, policy implications, technical aspects, and ethical concerns. The findings indicate that AI technologies offer significant benefits for government decision-making, including improved efficiency, data-driven insights, and enhanced service deliv…

Policy
The Impact of Artificial Intelligence on Public Sector Decision- Making: Benefits, Challenges, and Policy Implications