【摘要】 以大模型为代表的新一代AI的快速发展，冲击着人类社会既有的信息生态和信任体系。技术成为人类新的信任对象，人机信任成为媒介信任及社会信任的组成部分。论文从媒介信任和信息生态理论视域切入，通过对46名大模型用户深度访谈的叙事分析，以人机交互的动态过程视角建构了人机信任生态层级理论模型。研究发现，人机信任是由信息主体、信息内容、信息技术和信息环境四要素组成的信息生态中的复杂层级结构，自下而上融合了三层:微观个体层面，人机信任是一种融合、动态信任，包含可调节性、可验证性、专业性、准确性和有用性五个潜在维度;中观机构层面，人机信任源自平台的专业能力和可信赖性;宏观价值观层面，人机信任来自技术乐观主义和技术理性的意识形态。研究以动态视角、系统生态思维和层级模式探讨AI时代的人机信任，为当下及未来的媒介信任、人机传播研究等提供理论参考。更多还原

【Abstract】 The rapid development of new-generation artificial intelligence(AI),represented by large language models(LLMs),has impacted the existing information ecology and trust systems of human society.Technology has become a new object of human trust,integrating human-machine trust into the broader framework of media trust and social trust.This study,grounded in media trust and information ecology theory,employed narrative analysis of in-depth interviews with 46 LLM users to define human-machine trust and dynamically constructed a hierarchical model.The study found that hum anmachine trust was a complex hierarchy in the information ecology composed of four elements:information subject,information content,information technology,and information environment.It integrated three levels:at the micro-individual level,human-machine trust was a form of integrative trust,characterized by flexible interaction,containing five potential indicators of adjustability,verifiability,expertness,accuracy,and usefulness;at the meso-institutional level,human-machine trust stemmed from the expertise and trustworthiness of the platforms;and at the macro-social ideological level,human-machine trust was rooted in the ideologies of technological optimism and technical rationality.This study adopted a dynamic,systematic ecological perspective and a hierarchical model to explore the theory of human-machine trust in the AI era,providing theoretical references for current and future research on media trust,human-machine communication,and social trust.更多还原