摘要
本文从复杂性范式中“智能涌现”的视角切入,分析生成式AI与人类智能在知识生产领域的互构逻辑。在生成式AI的浪潮下,知识生产形成了“新常人”与常人共在的传播格局,AI与人类智能互为映射、互为参照。本文依循知识生态系统理论考察涌现范式,发现群体智能的演变规律在于将人与智能机器看成互为参照的统一整体。随后,根据索耶范式将常人社会系统和“新常人”群体智能的涌现进行了对比,划分为个体、互动、瞬时涌现、稳定涌现和社群结构五个层级。最后,本文认为“新常人”知识生产的新模式依照从“暗知识”到“显知识”的逻辑,要经历从微观的知识建构,到中观的知识提取,再到宏观的知识落地,依次完成知识涌现的操作化层次界定,通过提示工程实现认知增强,最后迈入认知智能的下半场。
This paper approaches the concept of"intelligent emergence"from the perspective of the complexity paradigm and analyzes the interplay of generative Al and human intelligence in the field of knowledge production.Under the wave of generative Al,knowledge production has formed a communication pattern where the"New DAS Man"and traditional humans coexist,with AI and human intelligence mutually mapping and referencing each other.This paper examines the emergence paradigm in line with the theory of knowledge ecosystems,finding that the evolution of collective intelligence regards humans and intelligent machines as a unified whole in reference to each other.Subsequently,a comparison is made between the emergence of traditional human social systems and the emergence of collective intelligence in the"New DAS Man"according to the Sawyer paradigm,software,and sets time series for Granger causality test.The results show that the public agenda is the Granger cause of the media agenda,but the media agenda is not the Granger cause of the public agenda.The voice of citizens empowered by technology has subverted the agenda-setting mechanism and the trend of public opinion dominated by traditional mainstream media in the past,and the social opinion at the last time node often becomes the social agenda at the next time node.In the inversion of the agenda transmission mode and the differentiation of the public opinion field,the realistic needs of integrating social issues and bridging the gap in public opinion are highlighted.As the main body responsible for integrating and guiding public opinion,mainstream media shoulder the mission of finding new channels to achieve social consensus.
作者
喻国明
苏芳
蒋宇楼
Yu Guoming;Su Fang;Jiang Yulou(School of Journalism and Communication,Beijing Normal University)
出处
《新闻界》
北大核心
2023年第10期4-11,63,共9页
Journalism and Mass Communication
关键词
知识生产
生成式AI
新常人
涌现
认知智能
Reverse agenda setting
Public agenda
Regression model
Granger causality