大数据辅助审判的潜在风险与防范路径
On Potential Risks and Prevention Mechanism Optimization of Big Date Assisted Adjudgement
黄震 1赵世清1
作者信息
- 1. 中央财经大学 法学院,北京 100081
- 折叠
摘要
大数据辅助审判技术在提升审判质效、实现司法公正等方面发挥重要作用,但应用该技术带来的潜在风险同样不应被忽视.大数据辅助审判在技术赋能层面面临着数据基础不坚实、信息安全存在隐患和算法运用产生风险等问题,在技术应用实效层面又存在着技术僭越辅助地位、部分特殊场景的强行应用引发负面效果等风险.风险产生的缘由主要在于大数据系统开发行为缺乏统一指引和规范、审判人员应用大数据技术存在思维误区以及技术瓶颈难以突破三个方面.为此,我们应加强对数据开发共享的统一指引,提升司法数据信息安全保护力度,完善针对算法的法律规制,通过原则确立、权限与程序设置将技术应用限制在辅助地位,构建大数据辅助审判技术动态分层适用制度.
Abstract
Big data assisted adjudgement technology plays an important role in improving trial quality and efficiency and realizing judi-cial justice,but the potential risks brought by the application of this technology should not be ignored.At the technical enabling level,big data assisted adjudgement is faced with problems such as weak data foundation,hidden dangers of information security and risks of algorithm application.At the technical application effectiveness level,there are risks of technology usurpation of auxiliary status and forced application of some special scenarios causing negative effects.The reasons for the risk mainly lie in the lack of unified guide-lines and norms for the development of big data systems,the misunderstanding of thinking in the application of big data technology by judicial personnel,and the difficulty of breaking through technical bottlenecks.To this end,we should strengthen the unified rules and guidelines for data development and sharing,enhance the protection of judicial data information security,improve the legal regulation of algorithms,positioning technology in an auxiliary position through principle establishment,authority and procedure setting,build a dynamic hierarchical application system of big data assisted adjudgement technology.
关键词
大数据辅助审判/数据开发共享/算法规制/辅助地位/动态分层适用Key words
big data assisted trial/data development and sharing/algorithm regulation/auxiliary status/dynamic layered application引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据