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Regulation & Standards · 28 stories · page 2 of 2

Financial regulation reforms in China – can artificial intelligence be a gamechanger to more sustainable financial regulations
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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 Law Review
The impact of generative artificial intelligence on socioeconomic inequalities and policy making
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The impact of generative artificial intelligence on socioeconomic inequalities and policy making

Abstract Generative artificial intelligence (AI) has the potential to both exacerbate and ameliorate existing socioeconomic inequalities. In this article, we provide a state-of-the-art interdisciplinary overview of the potential impacts of generative AI on (mis)information and three information-intensive domains: work, education, and healthcare. Our goal is to highlight how generative AI could worsen existing inequalities while illuminating how AI may help mitigate pervasive social problems. In the information d…

Justitia ex machina: The impact of an AI system on legal decision-making and discretionary authority
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Justitia ex machina: The impact of an AI system on legal decision-making and discretionary authority

Governments increasingly use algorithms to inform or supplant decision-making. Artificial Intelligence systems in particular are considered objective, consistent and efficient decision-makers, but have also been shown to be fallible. Furthermore, the adoption of artificial intelligence (AI) in government is fraught with challenges which are only partly understood and rarely studied in practice. In this paper, we draw on science and technology studies and human computer interaction and report on a critical case s…

Regulating AI-powered consumer contracts: risks, remedies, and global legal responses|Regolamentazione dei contratti dei consumatori basati sull’Intelligenza Artificiale: rischi, rimedi e risposte giuridiche globali
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Regulating AI-powered consumer contracts: risks, remedies, and global legal responses|Regolamentazione dei contratti dei consumatori basati sull’Intelligenza Artificiale: rischi, rimedi e risposte giuridiche globali

Artificial Intelligence (AI) has reshaped consumer contracts by enabling automated drafting, personalization, and enforcement at scale, with limited human intervention. While this increases efficiency, it also introduces risks, including bias, opacity, privacy violations, and power asymmetries. This article offers a comparative legal analysis of regulatory responses and case studies, focusing on the EU AI Act and contrasting it with approaches in the US, Canada, Brazil, and emerging frameworks in Asia-Pacific. T…

The EU's AI act: A framework for collaborative governance
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The EU's AI act: A framework for collaborative governance

In February 2024, the Council and the European Parliament (EP) agreed on the Artificial Intelligence Regulation (usually known as AI Act, AIA) .2 This regulation evaluates AI applications to ensure they are used ethically and responsibly, promoting the development of safe and lawful AI across the EU's single market. It establishes a comprehensive legal framework with a risk-based approach, aiming to achieve a balance between protecting the health, safety, and fundamental rights of European citizens and ensuring…

Policy

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…

AI-driven corporate governance: a regulatory perspective
Policy

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…

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

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…

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

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…

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