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作 者:毛奕文 Mao Yiwen(ZUEL-SUR School of Law and Economics,Zhongnan University of Economics and Law,Wuhan 430073)
机构地区:[1]中南财经政法大学罗马一大法与经济学院,湖北武汉430073
出 处:《中阿科技论坛(中英文)》2025年第2期158-162,共5页China-Arab States Science and Technology Forum
基 金:国家社会科学基金一般项目“企业劳动关系稳定的法律问题研究”(09BFX057)。
摘 要:随着人工智能技术的快速发展和广泛应用,数据隐私保护面临数据收集广度与深度增加、数据分析与利用的潜在风险和第三方数据分享的安全漏洞等挑战。因此,加强我国数据安全治理体系建设显得尤为迫切。文章基于数据隐私保护的内涵和数据隐私权的法律属性,分析了人工智能应用给数据隐私保护带来的法律困境,并提出明确数据权属、破解算法黑箱、协调法律适用、明晰责任主体等对策,为数据隐私保护提供法律支持,提升数据隐私保护水平,保障数据依法合理有效利用,推进国家治理体系和治理能力现代化。With the booming and widespread application of AI,data privacy protection is facing challenges such as increased breadth and depth of data collection,potential risks in data analysis and utilization and security vulnerabilities in third-party data sharing.Therefore,it is particularly urgent to construct a data governance system.Based on the connotation of data privacy protection and the legal attributes of data privacy rights,this article analyzes the difficulties brought about by the application of AI,and proposes suggestions such as clarifying data ownership,cracking algorithm black boxes,coordinating legal application,and clarifying responsible parties,so as to provide legal support for data privacy protection,ensuring the reasonable and effective use of data in accordance with the law,and promoting the modernization of the national governance system and governance capacity.
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