摘要
[目的/意义]本文揭示AI生成信息的信息生态污染风险,并对风险影响因素及作用机理进行系统研究,为提升人工智能安全监管及治理效能提供理论支持。[方法/过程]基于信息生态系统理论框架剖析信息生态污染风险的影响因素,建立信息生态污染风险的系统动力学模型,运用系统仿真的方法进一步比较各个风险影响因素的作用强度及规律特征。[结果/结论]通过仿真结果分析揭示了信息生态污染风险形成机理和各影响因素在风险管控中的不同效能,指出实现AI生成信息的标识隔离是信息生态污染风险管控的决定性因素。[创新/价值]在信息生态系统的宏观视域下,构建起涵盖全生命周期的AI生成信息动态演化模型,为信息生态污染风险的定量研究提供基础框架和理论原型。
[Purpose/significance]The widespread adoption of generative AI introduces a significant risk of Information Ecosystem Pollution(IEP),necessitating a systematic investigation into its influencing factors and underlying mechanisms to enhance the effectiveness of AI supervision and governance.[Method/process]First,based on the theory of information ecosystem,this research analyzes the influencing factors of IEP risk and constructs a system dynamics model of IEP.Then,system simulation technique was employed to further unveil the strength and features of each factor.[Result/conclusion]The simulation results reveal the risk mechanisms and the different impact of each influencing factor,emphasizing that the effective isolation between AI-generated information and traditional information is the determinant factor in controlling IEP risk.[Innovation/value]The value lies in constructing a comprehensive,full-lifecycle dynamic evolutionary model for AI-generated information,viewed through the lens of the information ecosystem.This effort provides the foundational framework and theoretical prototype for the further quantitative study of IEP risk.
作者
刘冰
侯志江
Liu Bing;Hou Zhijiang(School of Management,Tianjin Normal University,Tianjin 300387;College of Politics and Public Administration,Tianjin Normal University,Tianjin 300387)
出处
《情报理论与实践》
北大核心
2026年第2期92-102,共11页
Information Studies:Theory & Application
基金
国家社会科学基金重大项目“国家重大突发事件信息公开质量研究”的阶段性成果,项目编号:20&ZD141。
