首页|如何走出AIGC的"科林格里奇困境":全流程动态数据合规治理

如何走出AIGC的"科林格里奇困境":全流程动态数据合规治理

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[目的/意义]AIGC的快速发展带来了安全风险与规制问题,遵循AIGC的发展趋势构建全流程动态数据合规治理机制,能够帮助AIGC走出"科林格里奇困境".[研究设计/方法]通过梳理AIGC与数据治理之间的赋能与保障关系,结合AIGC规制的国际实践经验进行"科林格里奇困境"规制博弈分析,探析AIGC创新发展与规制的路径.[结论/发现]无论是欧盟的强硬规制、中国的谨慎监管还是美国的行业自律,都在不同维度显现出规制的局限性,可以通过全流程动态化规制手段适配AIGC的动态化发展趋势,构建基于数据合规治理的AIGC全流程动态规制机制,帮助AIGC走出困境.[创新/价值]基于数据合规治理的AIGC动态规制机制能够不断改进规制体制和工具,为AIGC相关技术落地具体应用领域提供思路.
How to Get Out of AIGC's"Collingridge Dilemma":Full Process Dynamic Data Compliance Governance
[Purpose/Significance]The rapid development of AIGC has brought many security risks and regulatory problems in cyberspace.The establishment of a full process dynamic data compliance governance mechanism in line with the development trend of AIGC will help AIGC go out of the"Collingridge dilemma".[Design/Methodology]In this article,based on sorting out the enabling and safeguarding relationship between AIGC and data governance,as well as analyzing AIGC's"Collingridge Dilemma"regulation game in the international practical experience of AIGC regulation,the path of innovative development and regulation of AIGC is explored.[Findings/Conclusion]Whether it is the stringent regulation imposed by the EU,the cautious regulation of China or the industry self-discipline of the United States,the limitations of regulation become evident in different dimensions.We can adapt the dynamic development trend of AIGC through employing the dynamic regulation means of the whole process,and we can establish the full process dynamic regulation mechanism of AIGC based on data compliance governance to get out of the AIGC's dilemma.[Originality/Value]The AIGC dynamic regulatory mechanism based on data compliance governance can continuously improve the regulatory system and tools,and provide ideas for the specific application fields of AIGC related technologies.

Artificial Intelligence Generated Content(AIGC)Data governanceCollingridge Dilemma

张春春、孙瑞英

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黑龙江大学信息管理学院,哈尔滨,150080

黑龙江省图书馆,哈尔滨,150090

人工智能生成内容 数据治理 科林格里奇困境

国家社会科学基金重大项目

21&ZD336

2024

图书情报知识
武汉大学

图书情报知识

CSTPCDCSSCICHSSCD北大核心
影响因子:1.649
ISSN:1003-2797
年,卷(期):2024.41(2)
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