欧洲人工智能治理:以证据为依据的政策制定弥合不确定性

Richard von Maydell
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引用次数: 0

摘要

本文探讨了人工智能(AI)日益重要所带来的当前挑战,并考虑了潜在的监管变革,以便通过循证决策更好地管理这一快速发展的技术。本文讨论的当前治理面临的主要挑战包括人工智能的模糊定义、对其多方面影响的评估、对固有不确定性的处理、监管与创新的协调以及对监管协调的追求。我们提出政策建议,如应用多标准分析、敏感性分析和实施监管沙盒。此外,该文件强调了欧洲在促进人工智能监管的互操作性和协调方面的潜在领导作用,并强调了欧洲在促进国际监管协调方面的贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

European Governance of Artificial Intelligence: Bridging Uncertainty With Evidence-Informed Policy Making

European Governance of Artificial Intelligence: Bridging Uncertainty With Evidence-Informed Policy Making

This article explores the current challenges posed by the growing significance of Artificial Intelligence (AI) and considers potential regulatory changes to better manage this rapidly developing technology through evidence-informed policy-making. Current key challenges for governance discussed consider the ambiguous definition of AI, the assessment of its multifaceted impacts, the handling of inherent uncertainties, the reconciliation of regulation with innovation, and the pursuit of regulatory harmonization. We propose policy recommendations such as the application of Multi-Criteria Analyses, Sensitivity Analyses, and the implementation of Regulatory Sandboxes. Additionally, the paper highlights Europe's potential leadership role in fostering interoperability and harmonization within AI regulation and emphasizes Europe's contribution to promoting international regulatory harmonization.

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