大数据时代消费者个人信息保护的优化路径构建

The Optimized Pathway Construction for Consumer Personal Information Protection in the Big Data Era

  • 摘要: 大数据时代,消费者个人信息保护面临技术、法律与商业利益的多重挑战,包括个人信息保护的技术、传统个人信息保护框架的局限以及商业利益导致的滥用数据等挑战。面对这些挑战,现有保护机制存在处罚机制失灵与违法成本倒挂、公益诉讼与社会监督机制不健全等短板。平衡数据价值开发与消费者个人信息保护的优化路径,应构建“制度创新-技术赋能-协同共治”的三维治理框架,从而实现数据要素安全可控与高效利用的动态均衡,推动数字经济的规范化发展。

     

    Abstract: In the big era, consumer personal information protection faces intermittent challenges from technology, law, and commercial interests, including challenges such as personal information protection technology, updates to traditional personal information protection frameworks, and supplementary data caused by commercial interests. In the face of these challenges, the existing protection mechanisms have failed punishment mechanisms and the cost of violating the law has been inverted. To balance the optimization path of data value development and consumer personal information protection, a three-dimensional governance framework of "institutional innovation- technical empowerment-harmonious co-governance" should be constructed to achieve a dynamic balance of safe, controllable and efficient utilization of data elements and promote the standardized development of the digital economy.

     

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