吉首大学学报(社会科学版) ›› 2025, Vol. 46 ›› Issue (6): 49-60.DOI: 10.13438/j.cnki.jdxb.2025.06.006

• “数字法学”专题 • 上一篇    下一篇

人工智能算法的法律规制——基于算法制度主义视角

郑玉双   

  1. (中国政法大学 法学院,北京 100088)
  • 出版日期:2025-11-01 发布日期:2025-12-05
  • 作者简介:郑玉双,男,博士,中国政法大学法学院教授,博士生导师。
  • 基金资助:
    北京市社会科学基金一般项目(22FXB009);中央高校基本科研业务费资助项目(24CXTD07)

Legal Regulation of Artificial Intelligence Algorithms:An Algorithmic Institutionalism Perspective

ZHENG Yushuang   

  1. (Law School,China University of Political Science and Law,Beijing 100088,China)
  • Online:2025-11-01 Published:2025-12-05

摘要:在数字时代,人工智能算法正广泛应用于社会生活诸方面,也成为了公共行政的重要辅助工具。然而算法的独特技术性能也带来严峻的法律挑战,因此对算法进行充分的法律规制成为学界共识。由于算法所产生的法律挑战呈现出不同维度,因此算法规制的内涵难以确定。基于算法制度主义视角,算法规制应当展示算法的制度维度,挖掘算法的新兴制度面向。算法规制不是目标导向的,而是制度导向的。从算法制度主义理解算法规制的优势在于能够实现算法技术的人机协作、价值延展和法律建构等层面的制度整合,从而化解算法规制的概念游移和结构庞杂之难题。算法规制应当包含两个主要内容:一是重塑算法权力,将算法权力纳入到可靠的框架之中;二是构建算法规范,开放算法技术形成独特社会规范的空间。算法权力的制度化有助于化解算法权力的法律定性难题,为避免算法权力的隐性扩张和异化拓展提供可能路径。算法规范的挖掘和建构则能为破解算法解释难题和优化算法相关权利配置提供支持。基于算法制度主义重构算法规制,为实现算法善治创造了新的可能方向。

关键词: 人工智能, 算法规制, 算法制度主义, 算法权力

Abstract: In the digital era,artificial intelligence algorithms are being extensively applied across various social domains and have evolved into crucial auxiliary instruments for public administration.However,the distinctive technical properties of algorithms pose substantial legal challenges,rendering comprehensive legal regulation a scholarly consensus.Given that algorithm-induced legal challenges manifest across multiple dimensions,precisely defining the connotation of algorithmic regulation remains problematic.From the algorithmic institutionalism perspective,algorithmic regulation should elucidate the institutional dimension of algorithms while exploring their emergent institutional facets.Algorithmic regulation should be institution-oriented rather than goal-oriented.The merit of comprehending algorithmic regulation through algorithmic institutionalism lies in its capacity to achieve institutional integration across human-machine collaboration,value extension,and legal construction of algorithmic technology,thereby resolving the conceptual fluidity and structural complexity inherent in algorithmic regulation.Algorithmic regulation should encompass two primary components:first,restructuring algorithmic power by incorporating it into a reliable framework;second,establishing algorithmic norms by creating space for algorithmictechnology to develop unique social norms.The institutionalization of algorithmic power facilitates addressing the legal qualification challenges of algorithmic power while providing potential pathways to prevent its implicit expansion and alienation.Meanwhile,the exploration and construction of algorithmic norms can support addressing algorithmic interpretability challenges and optimizing the configuration of algorithm-related rights.Reconstructing algorithmic regulation through algorithmic institutionalism opens new potential directions for achieving algorithmic good governance.

Key words: artificial intelligence, algorithmic regulation, algorithmic institutionalism, algorithmic power

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