摘要
大数据背景下,个人信息处理的普遍性、概念的开放性、风险的潜在性等特点使个人信息的界定方式出现理论和实践上的转变。理论上,识别性标准被不断修正;实践上,个人信息的界定要综合考量多种要素。为克服传统保护模式单一化、片面化、利益失衡等弊端,需引入综合治理模式,包括相对化的个人控制、多元利益平衡和风险动态规制。着眼于个人信息法律保护模式的转换,保护规则在民事、行政、刑事法律之间的衔接问题以及信息综合治理的具体方案是今后的研究重点。
In the Big Data Era,due to the pervasiveness of information processing,loose definitions and risk exposure,both the theory and practice of personal information protection are constantly changing.On the one hand,standards of personal information identification have always been modified.On the other hand,determination of personal information should simultaneously consider multiple factors.Purpose limitation and data minimization characterized by traditional protective methods need to be enhanced by the introduction of comprehensive control methods.The latter methods are characterized by flexibility for data access,balance of multiple interests and proactive risk regulation.From the perspective of transformation of personal information protection,future research should focus on two aspects.One is the linking of protection rules and regulations among civil affairs,public administration and criminal laws.The other is the concrete implementation of comprehensive control measures of personal information.
出处
《图书馆论坛》
CSSCI
北大核心
2020年第7期36-45,共10页
Library Tribune
关键词
个人信息
模式转换
风险规制
综合治理
personal information
transformation
risk regulation
comprehensive control measures
作者简介
朱悦,浙江大学光华法学院博士研究生,423004574@qq.com。
