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作 者:储节旺[1] 周艳 罗怡帆 Chu Jiewang;Zhou Yan;Luo Yifan(School of Management,Anhui University,Hefei 230601)
机构地区:[1]安徽大学管理学院,合肥230601
出 处:《图书情报工作》2025年第3期37-46,共10页Library and Information Service
基 金:国家社会科学基金一般项目“数智创新生态系统知识生成动力、扩散逻辑与治理机制研究”(项目编号:23BTQ055)研究成果之一。
摘 要:[目的/意义]随着人工智能生成内容的快速发展,认识AI生成内容过程中存在的失范行为,为AIGC得到有效治理、营造健康和安全的AIGC发展环境提供理论参考。[方法/过程]通过制定AIGC质量规范,分析AI生成内容具体的失范表现,并以WSR系统方法论为研究理论基础,构建AIGC失范治理机制。[结果/结论]从数据、表达、伦理、法律4个维度阐述AIGC的失范表现;并基于WSR系统方法论从物理、事理、人理3个维度提出AIGC失范表现的治理路径,构建集数据、算法、技术、审核、监管、法律法规于一体的多主体协同治理机制,为相关部门制定人工智能治理措施提供参考。[Purpose/Significance]With the rapid development of artificial intelligence generated content(AIGC),it is necessary to recognize the misconduct behaviors that exist in the process of AI-generated content.This paper aims to provide a theoretical reference for effective AIGC governance and create a healthy and safe development environment.[Method/Process]By establishing AIGC quality standards,this study analyzed specific misconduct behaviors in AI-generated content and constructed a governance mechanism for AIGC misconduct based on the WSR system methodology.[Result/Conclusion]This paper describes AIGC misconduct behaviors from four dimensions:data,expression,ethics,and law.Then it proposes a governance path for AIGC misconduct based on the WSR system methodology from the perspective of Wuli,Shili and Renli.It constructs a multi-agent synergistic governance mechanism integrating data,algorithms,technology,auditing,supervision,laws,and regulations,providing a reference for relevant departments to develop AI governance measures.
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