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算法行政的私营化及其公法规制 被引量:2

The Privatization of Algorithmic Administration and It’s Public Law Regulation
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摘要 算法对整个社会尤其是对公民具有较强的影响力和控制力。私营主体通过对算法程序的开发和设计有助于提升行政管理的社会化水平,弥补行政机关专业性知识的不足。但其对技术的垄断和控制也容易遭到滥用,算法程序设计的私营化程度越高,其权力滥用的机会就越大。除了借助市场竞争机制和传统私法规范约束私营主体之外,有必要引入公法的价值和原理对算法行政的私法化发展进行适度干预。行政机关采用私营主体设计的算法程序之时,应当遵循法律优先和法律保留的基本原则。立法机关应制定专门的法律法规来对算法行政的程序设计进行指引,通过建立专业的算法审查规制主体来对程序设计进行监管,以确保设计主体的可问责性。私营主体设计算法行政程序应遵循基本的程序正义要求,保证算法不偏离法治轨道,以确保算法程序设计的合法性和正当性。 Algorithm has strong influence and control over the whole society.Through the development and design of algorithm program,the private entities help to enhance the socialization level of administrative management and make up for the lack of professional knowledge of administrative organs.However,its monopoly and control of technology are also prone to abuse,and the higher the degree of privatization of algorithm programming,the greater the chance of power abuse.In addition to the market competition mechanism and the traditional private law norms to restriction private entities,it is necessary to introduce the value and principle of public law to adjust the privatization of algorithmic administration.When the administrative organs adopt the algorithm designed by the private entities,it should follow the basic principles of law superiority and law reservation.The legislature should formulate special laws and regulations to guide the design of algorithm,and establish a professional algorithm regulators to supervise the program design,so as to ensure the accountability of the designers.When designing the algorithm program,the private entities should follow the basic procedural justice requirements to ensure that the algorithm does not deviate from the legal track,so as to ensure the legitimacy of the algorithm program design.
作者 刘佳明 Liu Jiaming(Zhejiang University of Finance and Economics,Hangzhou Zhejiang 310018)
出处 《天津行政学院学报》 北大核心 2022年第5期87-95,共9页 Journal of Tianjin Administration Institute
基金 国家法治与法学理论研究项目“大数据时代数据垄断的竞争法规制研究”(17SFB2043)。
关键词 行政 算法 算法行政 私营化 administration algorithm algorithmic administration privatization
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