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算法影响评估制度的定位与完善

  • 作者:谢琳 曾俊森出版日期:2023年10月
  • 报告页数:25 页
  • 报告字数:28604 字所属丛书:
  • 所属图书:数字经济与法治 2023年第1...
  • 浏览人数:0    下载次数:0

文章摘要

我国算法影响评估制度泛化、软化以及透明度不足,根源在于其定位模糊。确立算法治理路径是明晰定位的前提,协同治理为算法治理的有效路径。作为协同治理的抓手,算法影响评估制度应当被视为算法协同治理路径的基础性制度。其体现了协同治理的重要特征,包括风险预防规则与后果问责协同、参与治理主体多元化、公私法协同等,有助于激励公私主体合作治理并通过风险阈值协同多种保障措施,实现全过程监管和保护算法技术的发展利益。我国需要围绕其定位进行完善,具体措施包括完善算法风险分级、建立全周期动态的评估制度、提高透明度、构建基于风险和后果的双重问责制。

Abstract

The generalization,softening and lack of transparency of China’s algorithm impact assessment are rooted in its ambiguous position. Defining the algorithm governance approach is the premise of clear position,and collaborative governance can be an effective approach for algorithm governance. As the starting point of collaborative governance,algorithm impact assessment should be understood as the basic mechanism of algorithm governance. It embodies the important characteristics of collaborative governance,including risk prevention rules and consequence accountability collaboration,pluralistic entities participating in governance,public-private law collaboration,etc.,which helps to encourage public-private entities to cooperate in governance and coordinate multiple safeguard measures through risk thresholds to achieve whole-process supervision and protect the development interests of algorithm technology. China needs to improve algorithm impact assessment based on its position and the characteristics of algorithm collaborative governance,including improving algorithm risk grading,forming a full-cycle dynamic assessment system,improving transparency,and building binary accountability based on risk and consequence.

作者简介
谢琳:谢琳,中山大学法学院副教授,法学博士,研究方向为知识产权法、个人信息保护法、数据法。
曾俊森:曾俊森,中山大学法学院法学硕士,研究方向为知识产权法、网络法、金融法。