State roles in platform governance: AI’s regulatory geographies

Fabian Ferrari
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Abstract

Platform governance scholarship commonly derives the role of the state from its actions as a regulator of platforms: a rule-setter that sets limits and restricts their activities. This article argues that three additional state roles enable and constrain the agency of states to regulate platforms: facilitator, buyer, and producer. Using the EU’s Artificial Intelligence Act as a case study, the article asks: How do different state roles in platform governance shape AI’s regulatory geographies? It answers this research question by outlining two policy dilemmas between those four state roles. First, the EU’s ambition to act as a facilitator of digital markets constrains its scope of interventions as a regulator of platforms. Second, the EU’s deficits in acting as a producer of AI infrastructure exacerbate its dependency as a buyer of Big Tech offerings, especially cloud computing services. The article contends that dilemmas between state roles are not anomalies but defining features of state-platform relations. As generative AI systems gain sophistication, an understanding of how state roles relate to each other helps to navigate their complex governance regimes.
国家在平台治理中的作用:人工智能的监管地域
平台治理学术界通常从国家作为平台监管者的行为中推导出国家的作用:作为规则制定者,设定限制并约束平台的活动。本文认为,另外三种国家角色能够促进和制约国家监管平台的机构:促进者、购买者和生产者。文章以欧盟的《人工智能法》为案例,提出了以下问题:国家在平台治理中的不同角色如何塑造人工智能的监管地域?文章通过概述这四种国家角色之间的两种政策困境来回答这一研究问题。首先,欧盟作为数字市场促进者的雄心限制了其作为平台监管者的干预范围。其次,欧盟在充当人工智能基础设施生产者方面的不足加剧了其作为大科技产品(尤其是云计算服务)购买者的依赖性。文章认为,国家角色之间的困境并非反常现象,而是国家与平台关系的决定性特征。随着人工智能生成系统日趋成熟,了解国家角色之间的关系有助于驾驭其复杂的治理机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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