【摘要】 基于耦合网络与传播动力学,构建了企业管理者-普通员工双层网络中生成式AI(Generative Artificial Intelligence, GAI)偏差认知传播动力学模型,以揭示GAI偏差认知的传播机理.模型综合考量了层级间交流与认知培训的影响,并运用下一代矩阵法精确计算出传播阈值R0,为有效治理提供了关键量化依据:当R0<1时,偏差认知自发消失;当R0>1时,偏差认知存在扩散风险.此外,通过数值仿真对比评估两种干预策略,并结合案例研究深度解析了偏差认知在企业内生成与传播的驱动机制.更多还原

【Abstract】 This study developed a model to understand the communication dynamics of generative artificial intelligence(GAI) bias cognition within a two-layer network comprising enterprise managers and ordinary employees. The model integrated the effects of communication between different levels and the impact of cognitive training. Using the next-generation matrix method, the study accurately calculated the propagation threshold, R0, that served as a crucial quantitative foundation for effective governance.Specifically, when R0<1, deviant cognition tended to disappear spontaneously, whereas when R0>1, a risk of biased cognition spreading existed. Additionally, the study compared and evaluated two intervention strategies through numerical simulations, providing a comprehensive analysis of the mechanisms that drove the generation and dissemination of deviant cognition within enterprises, supported by case studies.更多还原