大数据技术在侦查应用中的风险与法律规制

Risk and Legal Regulation of Big Data Technology in Investigation

鉴于个人信息安全立法滞后性与大数据技术算法的高速迭换性和前置性,大数据技术在侦查应用的风险隐患主要表现为:其一,进行数据深度挖掘有过度使用个人信息风险之虞。其二,技术背后算法不透明情况下的侵权行为更具隐蔽性。其三,依赖数据模型方法和技术,形成争议事实的客观基础,存在压制司法主观能动性的风险。在这一形势下,以“事前标准、事中监督、事后救济”的实现路径构建法律规制体系,对大数据技术在侦查应用中的风险进行法律规制有着必要的理论和实践意义。

In order to curb network crime,the investigation work gradually focuses on digital technology,and realizes the prevention and attack of crime in the“network environment”.At present,it is in the stage of deep integration with big data technology.In view of the lag of personal information security legislation and the high-speed alternation and prepositiveness of big data technology algorithm,the potential risks of big data technology in the application of investigation are mainly as follows:First,there is the risk of overusing personal information in deep data mining.Second,the technology behind the algorithm is more covert in the case of non transparent infringement.Third,the investigation relying on data model methods and techniques forms the objective basis of disputed facts,and there is a risk of suppressing judicial subjective initiative.In this situation,it has necessary theoretical and practical significance to build a legal regulation system with the realization path of“pre standard,in-process supervision,post relief”to regulate the risk of big data technology in the application of investigation.