首页|人工智能监管的路径选择——欧盟《人工智能法》的范式、争议及影响

人工智能监管的路径选择——欧盟《人工智能法》的范式、争议及影响

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中国的人工智能立法已提上日程,而该立法应遵循何种监管路径尚无定论,不同法域的前期探索均值得参考.欧盟《人工智能法》是欧洲数字立法版图展开的重要一步,是欧盟人工智能战略的基础性法律.欧盟《人工智能法》采取横向立法模式,选择了"基于风险"的监管方法,将人工智能系统分为四个不同的风险级别,对其设置相应强度的监管措施:被禁止的人工智能系统、受详细规则约束的高风险人工智能系统、其他人工智能系统,以及通用人工智能模型.其中,公共场所"实时"远程生物特征识别及通用人工智能模型监管等问题备受争议.欧盟《人工智能法》面临标准制定、市场主体成本增加、实施成本高昂等问题.欧盟与美国、英国等代表性国家对人工智能的规制路径各不相同.中国应立足于本国人工智能战略,选择横纵结合的监管路径.
Path Choice for Artificial Intelligence Regulation:Paradigms,Controversies and Impacts of the EU's Artificial Intelligence Act
China's AI legislation has already been put on the agenda,but there is yet no consensus on the regulatory path to be followed.The previous attempts in the other jurisdictions can thus be used for reference.The EU Artificial Intelligence Act is an important step in Europe's digital legislation and the cornerstone of the EU's AI strategy,which follows a horizontal legislative model and opts for a"risk-based"approach,categorizing AI systems into four risk levels with corresponding regulatory measures:banned AI systems with unacceptable risks,high-risk AI systems subject to specific rules,other AI systems,and Generic AI models.The is-sues of"real-time"remote biometric identification in public spaces and the regulation of general-purpose AI models are highly controversial.While at the same time,the EU's Al Law faces predicaments in relation to standardization,increased costs for market players and high implementation costs.The EU has chosen a different regulatory path for AI regulation from that taken by the US or the UK.China should choose a regulatory path combining both horizontal and vertical models which is based on its own AI strategy.

王天凡

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北京航空航天大学法学院

欧盟 《人工智能法》 通用人工智能 生物特征识别 监管沙盒

2024

欧洲研究
中国社会科学院欧洲研究所

欧洲研究

CSSCICHSSCD北大核心
影响因子:0.634
ISSN:1004-9789
年,卷(期):2024.42(3)