非法使用公民个人信息行为的刑事归责——从“解释入刑”到“立法入罪”  

Criminal Accountability for the Illegal Use of Citizens’Personal Information:From“Interpret Sentencing”to“Legislation Criminalization”

在线阅读下载全文

作  者:宁利昂 NING Li-ang

机构地区:[1]杭州电子科技大学法学院,浙江杭州310018

出  处:《华侨大学学报(哲学社会科学版)》2024年第3期124-132,共9页Journal of Huaqiao University(Philosophy & Social Sciences)

基  金:教育部人文社会科学研究青年基金“网络黑灰产业刑法治理研究”(19YJC820045);杭州电子科技大学2022年度省属高校基本科研业务费项目“数智时代涉人工智能刑事归责问题研究”(GK229909299001-222)。

摘  要:数字时代背景下,公民个人信息的使用成为常态,已然分化出合法与非法之不同行为。在非法使用公民个人信息行为的刑事归责问题上,若以法律解释为限,会觉察现行刑法供给匮乏,难以满足危害防范和法益保护的现实需要。转向立法论之建言,即非法使用公民个人信息行为立法入罪,对于理顺前置法与保护法之关系、达致法益保护周延之目的而言,具有值得肯定的积极意义。通过恪守个人信息利用与保护的价值平衡理念,针对殊异的应用场景开展行为合法性的判断活动,明确前置法合法阻却行为入罪,区分个人信息滥用的前置法违法与刑事违法,可以消除未来新设之罪沦为口袋罪的担忧。In the context of the digital age,the use of citizens’personal information has become ubiquitous and has differentiated into legal and illegal behaviors.On the issue of criminal accountability for illegal use of citizens’personal information,legal interpretation will make us realize that the current criminal law is in short supply,and is difficult to meet the practical needs of hazard prevention and legal interest protection;In terms of legislation,the criminalization of illegal use of citizens’personal information has a positive significance in clarifying the relationship between pre-existing laws and protective laws,and achieving the goal of comprehensive protection of legal interests.By adhering to the value balance concept of personal information utilization and protection,conducting legal judgement activities for different application scenarios,clarifying the legality of pre-existing laws to prevent behavior from being criminalized,distinguishing between pre-existing law violations and criminal violations of personal information abuse,we can eliminate the concern that this new crime will become pocket crime in the future.

关 键 词:个人信息 非法使用 刑事归责 解释论 立法论 

分 类 号:D914[政治法律—刑法学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象