J* E* C* N* U* N* S* ›› 2025, Vol. 2025 ›› Issue (5): 191-201.doi: 10.3969/j.issn.1000-5641.2025.05.018

• Ethics, Laws, and Security in Open Source and AI • Previous Articles    

Dynamics model in two-layer networks and case study on generative artificial intelligence bias cognition propagation

Hongmiao ZHU1(), Xiaodong ZHAO1, Huimin ZHOU2, Jiayin QI3,4,*()   

  1. 1. School of Management, Shanghai University of International Business and Economics, Shanghai 201620, China
    2. Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai 200030, China
    3. School of Cyberspace Security, Guangzhou University, Guangzhou, 510006, China
    4. Key Laboratory of Trustworthy Distributed Computing and Service of the Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2024-12-21 Online:2025-09-25 Published:2025-09-25
  • Contact: Jiayin QI E-mail:hongmiaoz87@163.com;qijiayinn@163.com

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.

Key words: GAI bias cognition propagation, coupled networks, dynamics model in complex networks, threshold, case study

CLC Number: