大数据侦查模式的正义困境与出路  

The Justice Dilemma and Solution of Big Data Investigation Model

作　　者：汪会瑶 Wang Huiyao(China University of Political Science and Law,Beijing 100000)

机构地区：[1]中国政法大学,北京100000

出　　处：《湖北警官学院学报》2025年第1期40-49,共10页Journal of Hubei University of Police

摘　　要：大数据侦查模式存在算法暗箱、算法歧视和允许不精确的算法理念等问题,致使大数据侦查模式的技术正义存疑;大数据侦查模式的犯罪预测与实时监控功能潜在地前移了侦查程序启动的时间节点,疏离了程序正义;广泛运用大数据侦查模式增加了侵犯公民隐私权的风险,产生实质正义的隐忧。为走出大数据侦查模式面临的正义困境,可以场景理论平衡利益冲突、以比例原则厘清权力边界、以制度规范实现社会正义,从而更加接近并实现数字正义。The big data investigation model has problems such as algorithmic black box, algorithmicdiscrimination, and the concept of allowing imprecise algorithms, which cast doubt onthe technical justice of big data investigation;the crime prediction and real-time monitoring functionsof big data investigation potentially move the starting point of the investigation procedureforward, distancing it from the procedural justice;the widespread use of big data investigationincreases the risk of violating citizens' privacy rights, thereby raising concerns about substantivejustice. To get out of the justice dilemma faced by the big data investigation model, the scenariotheory can be used to balance conflicting interests, the principle of proportionality can be used toclarify the boundaries of power, and institutional norms can be used to achieve social justice.Therefore we can get closer to and achieve digital justice.

关 键 词：大数据侦查 数据权利 场景理论 利益平衡 数字正义 

分 类 号：D631[政治法律—政治学]