AI背景下数据要素流通的安全挑战与对策研究OA

The explosive advancement of artificial intelligence is fundamentally reshaping the circulation pat-terns and security boundaries of data elements.As a new type of production factor,data has become the core en-gine driving new quality productive forces and the digital economy,with circulation security serving as a critical prerequisite for unlocking its value.Based on the characteristics of data elements and the implications of secure data circulation in the age of Artificial Intelligence(AI),this paper provides a systematic review of strategic ori-entations and institutional practices in the domain of global data circulation security.It further analyzes China's current developmental status from multiple dimensions,including policies and regulations,technological sup-port,and cross-border governance.The study reveals that,although China has preliminarily established a basic framework for data element circulation security,it still faces multiple structural challenges,such as an incom-plete governance system,heavy reliance on core foreign technologies,insufficient alignment with international rules,and a shortage of interdisciplinary talent.To address these issues,this paper proposes a set of coordinated strategies:refining the ownership confirmation mechanism and standard system,strengthening R&D in key technologies,optimizing cross-border security management,and building collaborative talent cultivation mech-anisms.These measures aim to advance both the governance system and capacity building,thereby providing theoretical references and practical pathways for developing a secure,trustworthy,open,and controllable data element market.