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谢伏瞻
    中国社会科学院学部委员,学部主席团主席,研究员,博士生导师。历任中国社会科学院院长、党组书记,国务院发展中心副主... 详情>>
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李培林
    男,汉族,出生于1955年5月,山东济南人,博士,研究员,全国人民代表大会社会建设委员会副主任委员,中国社会科学... 详情>>

    协同治理路径下的算法决策规制

    摘要

    我国当前关于算法治理的相关规定体现了协同治理的理念。算法决策协同治理有助于兼顾多元主体的利益,解决算法决策治理中人的主体性和算法功能性两大问题。在协同治理框架下,我国《个人信息保护法》中关于自动化决策的个人权利旨在为个人提供参与算法决策治理的途径,构建算法决策的正当程序,解决人的主体性问题。但是,个体赋权无法有效解决算法的功能性问题,个体权利的内容建构不宜过宽。解决算法功能性问题需要倚重于体现了协同治理和义务规则的个人信息保护影响评估制度。个人信息保护影响评估制度需要着重整合多元主体的资源与能力,形成覆盖算法运作全周期的动态评估制度。

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    Abstract

    Current regulations about algorithm governance in China reflect the concept of collaborative governance. Collaborative governance of automated decision-making helps to balance interests of multiple subjects,and solves the human subjectivity concern and functional problems of algorithm. Under the framework of collaborative governance,the individual rights on automated decision-making in China’s Personal Information Protection Law aim to provide individuals with ways to participate in automated decision-making governance,establish due process for automates decision-making,and relieve the concern of human subjectivity. However,individual empowerment cannot effectively solve the functional problems of algorithm. Thus,the content of individual rights should not be too broad. To solve the functional problems of algorithm,it is necessary to attach importance to the personal information protection impact assessment system that embodies collaborative governance and obligatory rules. The personal information protection impact assessment system needs to focus on integrating the resources and capabilities of multiple subjects,and form a dynamic assessment system that covers the entire process of automated decision-making.

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    作者简介
    曾俊森:曾俊森,中山大学法学院硕士研究生。
    谢琳:谢琳,法学博士,中山大学法学院副教授。
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