摘要
在前大数据时代,公安机关已经不同程度地运用现代信息技术以辅助法律的执行。大数据技术的兴起不仅能更准确地预测违法行为的时空分布、实现对于个体行为的监控与危险评估,还有助于了解执法过程中的风险点和社会公众的需求。我们在肯定大数据对警察执法带来益处的同时,也要认识到其对既有的执法理论和实践所带来的挑战,具体包括虚假的确定性、执法权力的扩大、执法合理性的缺失以及程序设计者的自由裁量权。作为应对举措,我们在充分利用大数据技术辅助执法时,需要明确大数据技术的应用范围和条件,注重对于数据信息权利的保护以及执法过程中的透明性、公开性和可问责性,同时保障相应的技术性正当程序。
In the era of pre-big data, public security agencies have used modem information technology in different degrees to assist law enforcement. The emerging of big data technology can not only more accurately predict the temporal and spatial distribution of illegal activities, realize the monitoring and risk assessment of individual behavior, but also help understand the risk points in the law enforcement process and the needs of the public. While affirming that Big Data has brought benefits to police enforce- ment, we must also recognize the challenges it poses to existing law enforcement theories and practices, including false certainty, expansion of law enforcement power, lack of law enforcement rationality and the programmer＇s discretion. As a countermeasure, when we make full use of big data technology to assist law enforcement, we need to clarify the scope and conditions of applying big data technology, pay attention to the protection of data information rights, and the transparency, openness, and accountability in the law enforcement process as well as safeguarding the corresponding technical due process.
作者
谭俊
TAN Jun(KoGuan Law School of Shanghai JiaoTong University,Shanghai,20024)
出处
《行政法学研究》
CSSCI
北大核心
2018年第6期128-135,共8页
ADMINISTRATIVE LAW REVIEW
关键词
大数据技术
警察执法
自由裁量权
可问责性
技术性正当程序
Big Data Technology
Police Law Enforcement
Discretion
Accountability Due Process Technical Due Process
