从知识困境到认知陷阱:生成式技术驱动型信息生态系统安全问题研究  

From Epistemological Paradox to Cognitive Trap: Research on Security Issues of Generative Technology-Driven Information Ecosystem

作　　者：白云[1] 李白杨[2,3] 毛进[1,4] 李纲[4] Bai Yun;Li Baiyang;Mao Jin;Li Gang(School of Information Management,Wuhan University,Wuhan,430072;School of Digital Economy and Management,Nanjing University,Suzhou,215011;Data Intelligence and Cross Innovation Lab,Nanjing University,Nanjing,210033;Information Resources Research Center,Wuhan University,Wuhan,430072)

机构地区：[1]武汉大学信息管理学院,武汉430072 [2]南京大学数字经济与管理学院,苏州215011 [3]南京大学数据智能与交叉创新实验室,南京210033 [4]武汉大学信息资源研究中心,武汉430072

出　　处：《信息资源管理学报》2024年第1期13-21,共9页Journal of Information Resources Management

基　　金：国家自然科学基金青年项目“面向海外公共安全的事件画像与多源数据融合方法”(72004171)的研究成果之一

摘　　要：生成式技术驱动型信息生态系统以生成式人工智能技术为核心,对整个信息环境中的知识传递与共享、认知流动与扩散过程发挥支撑和推动作用。然而,这种创新型的信息生态系统也伴随着知识安全和认知安全问题的出现。本文从知识环境和认知环境两个层面入手,对生成式技术驱动型信息生态系统的特点、优势与风险进行深入剖析,探索如何在符合人类价值观和社会伦理的前提下,充分发挥生成式人工智能的潜力,推动构建高效、安全、可持续发展的生成式技术驱动型信息生态系统。Generative technology-driven information system,with generative artificial intelligence as its core,supports and promotes the process of knowledge transmission and sharing,as well as cognitive flow,and diffusion in the entire information environment.However,it also poses challenges to epistemic security and cognitive security.This paper analyzes the characteristics,advantages,and risks of the generative technology-driven information ecosystem from the perspectives of epistemic and cognition environments.It explores how to fully realize the potential of generative artificial intelligence while adhering to human values and social ethics,to promote the construction of an efficient,secure,and sustainable generative technology-driven information ecosystem.

关 键 词：生成式人工智能 信息生态系统 知识安全 认知安全 知识环境 认知环境 

分 类 号：G350[文化科学—情报学]