摘要
算法渗透执法将改变传统平台自主治理的游戏规则,有效地将执法和裁决权力集中到少数几个大型平台手中。基于平台私人化以及利益驱动的特性,导致算法自动化决策极有可能带有偏见。在算法渗透执法主要通过架构规制、数据集合实现公共治理功能的背景下,算法渗透执法恐导致执法过程中侵权认知不充分、社会公众接触信息不自由、执法程序不透明。意将算法问责制贯穿算法应用全过程,需结合算法应用前的数据来源处理原则及知情原则、算法应用中的可审计原则及检验和测试原则、算法应用后的解释原则及访问和救济原则共六大原则进行全方位考察,通过促进算法渗透执法的透明度与正当程序来实现算法问责制。
Algorithmic penetration of law enforcement will be a game changer for traditional platform autonomy governance,effectively centralizing enforcement and adjudication power in the hands of a few large platforms.Based on the privatization of platforms and the profit-driven nature of the platforms,this leads to a high likelihood of biased automated algorithmic decision-making.In the context of algorithmic penetration law enforcement,which mainly realizes public governance functions through architectural regulation and data aggregation,algorithmic penetration law enforcement threatens to lead to insufficient knowledge of infringement in the law enforcement process,unfettered access to information by the public,and non-transparent law enforcement procedures.The intention is to carry out algorithmic accountability throughout the entire process of algorithmic application,which needs to be examined in an all-round manner by combining six principles,namely,the principle of handling data sources and the principle of knowledge before algorithmic application,the principle of auditability and the principle of inspection and testing during algorithmic application,and the principle of interpretation and the principle of access and relief after algorithmic application,so as to realize algorithmic accountability by promoting the transparency of algorithmic infiltration law enforcement and the due process.
作者
王雪璠
Wang Xuefan(Institute of Intellectual Property,Southwest University of Political Science and Law,Chongqing 401120,China)
出处
《科技与法律（中英文）》
2024年第4期115-126,共12页
Science Technology and Law（Chinese-English Version）
基金
重庆市教委人文社会科学研究项目“互联网平台版权过滤义务研究”(23SKJD010)。
关键词
算法问责制
算法透明
数据来源
知情原则
解释原则
平台责任
algorithmic accountability
algorithmic transparency
data sources
informed principle
interpretive principle
platform responsibility
