数字经济时代数据安全风险防范体系之构建与优化

The Construction and Optimization of Data Security Risk Prevention System in the Era of Digital Economy

随着人工智能技术的发展,全球进入“数据驱动”时代,数据流动创造价值的同时也带来日趋严重的安全危机。针对以数据滥用、数据泄露、数据污染为代表的数据安全事件,亟须通过建立全面、科学、有效的数据安全风险防范体系加以解决。然而,数据的法律属性与权利归属在理论上尚未廓清,数据流通边界的界定、数据安全综合防御机制的建立、公权与私权的博弈、数据安全保护与数据开发利用之间的内在张力都在不同程度上影响和制约了数据安全风险防范体系的建构。通过明确数据共享的权责归属,健全数据流动安全保护机制以及建立数据全生命周期风险预警防御机制有助于深入探明数据安全保障的政策法制完善之路。

With the development of artificial intelligence technology,the world has entered the“Data-Driven”era.Data flow not only creates value,but also brings an increasingly serious security crisis.Considering data security incidents represented by data abuse,data leakage and data pollution,it is urgent to establish a data security risk prevention system that takes into account security and development.However,the legal attribute and right ownership of data have not been clarified in theory.The boundary of data circulation,the establishment of comprehensive defense mechanism for data security,the game between public and private rights,and the internal tension between data security protection and data development and utilization affect and restrict the construction of data security risk prevention system.By clarifying the ownership of rights and the responsibilities of data sharing,improving the security protection mechanism of data flow and establishing the early warning of risks and the defense mechanism within the whole data life cycle,the path to improve the policies and the legal systems for ensuring data security may be further clarified.