Rethinking technology regulation in the age of AI risks
本文指出人工智能的透明度低、自主性强和系统性风险挑战了传统监管范式，提出区分功能、结构和关系风险的三元框架，并比较欧盟、美国、英国和中国的监管逻辑，呼吁全球协调和跨学科研究。
This paper argues that artificial intelligence exposes the shortcomings of traditional regulatory paradigms, challenging Easterbrook’s ‘Law of the Horse’ view that general legal principles suffice. AI’s opacity, autonomy, and systemic risks demand risk-informed, technology-specific governance. We identify the pacing problem, where innovation outstrips regulatory capacity, and propose a tripartite framework distinguishing functional, structural, and relational risks. Comparative analysis of EU, US, UK, and Chinese approaches highlights divergent logics of precaution, market oversight, hybrid flexibility, and state control. Effective governance requires embedding risk into policy design through adaptive, proportionate, and harmonised mechanisms, balancing innovation with accountability. The paper underscores the urgency of global coordination and calls for interdisciplinary IS research to inform anticipatory, participatory, and ethically grounded regulation.