+ 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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Policy · Regulation & Standards

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Evidence-backed gain

AI-driven corporate governance: a regulatory perspective

The use of AI-driven or AI-assisted systems in corporate compliance is a novel topic in the business and management literature, only marginally considered by legal academia. While some scholarly pieces have explored the use of artificial intelligence (AI) systems to support compliance in the financial sector (eg, for anti-money laundering purposes), the legal implications of deploying AI systems to fulfil corporate compliance tasks has not yet received the attention it deserves. This article approaches the use o…

Griffith Law Review · Policy

AI-driven corporate governance: a regulatory perspective
Elon Musk’s xAI sues Colorado over new rules for artificial intelligence
Both readings

Elon Musk’s xAI sues Colorado over new rules for artificial intelligence

Elon Musk’s artificial intelligence company, xAI, has filed a lawsuit against the state of Colorado over a new AI law set to take effect in June. The suit seeks to block the state from enforcing the law, which would impose new requirements on AI systems to protect state residents from “algorithmic discrimination” in sectors such as education, employment, healthcare, housing and financial services. Colorado was the first state to pass a comprehensive bill to regulate AI. The company claims the law infringes on it…

Policy
Algorithmic Justice and Responsible AI Journalism: A Comparative Communication Policy Perspective in East Asia
Both readings

Algorithmic Justice and Responsible AI Journalism: A Comparative Communication Policy Perspective in East Asia

As generative artificial intelligence and automated content curation rapidly reshape the global media landscape, the intersection of algorithmic justice and media governance has become a critical frontier for sustainable development. This study provides a comparative communication policy analysis of China and South Korea, focusing explicitly on how their distinct regulatory toolkits address the tension between algorithmic fairness and platform accountability in AI journalism. While China utilizes a top-down, sta…

Policy
Navigating ethical, regulatory, and implementation barriers to AI in healthcare: pathways toward inclusive digital health in low-resource settings—a scoping review
Evidence-backed problem

Navigating ethical, regulatory, and implementation barriers to AI in healthcare: pathways toward inclusive digital health in low-resource settings—a scoping review

Background: Artificial intelligence (AI) has the potential to revolutionize healthcare delivery in low- and middle-income countries (LMICs), yet its rapid adoption raises complex ethical, regulatory, and implementation challenges. This review investigates these barriers and identifies emerging strategies that support equitable and inclusive AI deployment in resource-limited settings. Methods: Following the PRISMA Extension for Scoping Reviews (PRISMA-ScR) guidelines, a systematic mapping of literature was conduc…

Policy