冲突与调和:大数据侦查与公民个人隐私

Conflict and Reconciliation:Big Data Investigation and Citizen Personal Privacy

大数据时代,在侦查活动中运用大数据手段能够快速锁定犯罪嫌疑人身份,高效地破解刑事案件,但大数据侦查手段对个人隐私的海量收集和深度利用会带来对公民个人隐私的侵害和泄露的风险,针对大数据侦查中存在的风险,应以比例原则为指导,坚持公平信息实践原则,遵循非法证据排除规则,在此基础上,通过“立法规制”“审查监督”和“个人权利保障”三方面,解决大数据侦查对公民个人隐私保护的冲突问题。

In the era of big data,the use of big data methods in investigative activities enables rapid identification of suspects and efficient resolution of criminal cases.However,the extensive collection and deep utilization of personal data in big data investigations pose risks of infringement and disclosure of individual privacy.To address the risks associated with big data investigations,it is necessary to adhere to the principle of proportionality,uphold the principle of fair information practices,and follow rules regarding the exclusion of illegal evidence.Based on these principles,the conflict between big data investigations and the protection of individual privacy can be addressed through legislation and regulation,scrutiny and supervision,and safeguarding individual rights.