从搜索引擎到AI搜索：大模型赋能下的信息获取变迁分析

AI搜索是一种面向信息搜索领域的大模型垂类应用，提供了全新的对话式信息获取体验，正在改变人类信息消费方式。文章分析媒介技术进化带来的信息获取方式变迁，即经历了以人为主的博闻强记、互联网搜索辅助的信息寻求、大模型赋能下的人智协同三个发展阶段，并提出信息获取变迁背后蕴含两个变化：其一，人类角色转变，即全面执行者－部分执行者－协作者和决策者；其二，人机关系演进，即被动响应－主动智能－人智协同。AI搜索智能体以主体身份深入传播实践，文章思考的问题是这种趋势是否对人类能力和信息环境构成新的挑战。

關鍵字

AI搜索；信息获取；智能体；人机关系；人智协同

並列摘要

AI Search represents a vertical application of large language models in the field of information retrieval, providing a novel conversational information acquisition experience which is reshaping human information consumption patterns. This paper delineates the evolutionary trajectory of information acquisition methodologies driven by media technology advancements and identifys three developmental phases: 1) the human-centered information acquisition and memorization, 2) the internet-assisted search paradigm, and 3) the emerging human-AI collaborative interaction empowered by large language models. Two fundamental shifts underpinning this evolution are proposed: first, the transformation of human roles from comprehensive executor to partial executor, and ultimately to collaborator and decision-maker; second, the evolution of human-machine relationships from passive responsiveness to proactive intelligence, culminating in human-AI collaboration. As AI search agents, acting as autonomous agentic entities, increasingly engage in communication and dissemination practices, this paper also critically examines the potential challenges this trend poses to human cognitive capabilities and the broader information ecosystem.

並列關鍵字

AI search ； information acquisition ； AI agent ； human-machine relationship ； human-AI collaboration

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