arXiv:2501.05921cs.CYcs.AI2025-01被引 36

欧盟推动前瞻型监管文化,以应对技术革新带来的滞后问题。

The New Anticipatory Governance Culture for Innovation: Regulatory Foresight, Regulatory Experimentation and Regulatory Learning

  • 构建敏捷而稳健的前瞻性治理框架,整合多种创新监管工具。
  • 通过政策沙盒、试点试验和学习型监管应对不确定性与复杂性。
  • 适合关注数字治理、政策创新与监管实验的决策者与研究者。

随着技术革新的迅猛发展,传统政策制定与立法方式日益显得过时。为应对监管滞后的负面影响,发展中国家更应重视灵活的监管选择,而非追求一次性完美监管。本文深化了对欧盟技术创新政策与监管的研究,系统探讨了构建敏捷且稳健的前瞻性治理文化所需的关键要素。文章梳理了战略预见、迭代式政策开发、监管学习以及自下而上的协同政策设计(如政策实验室)等实践,并强调这些工具需更系统化地整合进监管工具箱。特别关注了欧盟《人工智能法案》中监管沙盒的应用,展示其在推动创新、应对监管复杂性方面的潜力。

原文摘要 · Abstract (English)

With the rapid pace of technological innovation, traditional methods of policy formation and legislating are becoming conspicuously anachronistic. The need for regulatory choices to be made to counter the deadening effect of regulatory lag is more important to developing markets and fostering growth than achieving one off regulatory perfection. This article advances scholarship on innovation policy and the regulation of technological innovation in the European Union. It does so by considering what building an agile yet robust anticipatory governance regulatory culture involves. It systematically excavates a variety of tools and elements that are being put into use in inventive ways and argues that these need to be more cohesively and systemically integrated into the regulatory toolbox. Approaches covered include strategic foresight, the critical embrace of iterative policy development and regulatory learning in the face of uncertainty and the embrace of bottom up approaches to cocreation of policy such as Policy Labs and the testing and regulatory learning through pilot regulation and experimentation. The growing use of regulatory sandboxes as an EU policy tool to boost innovation and navigate regulatory complexity as seen in the EU AI Act is also probed

监管创新政策实验欧盟人工智能

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