探究生成式人工智能对信息寻求的影响
Investigating the Impacts of Generative AI on Information Seeking
- University of Notre Dame（圣母大学）
- Embry Riddle Aeronautical University（安柏瑞德航空大学）
机构由 AI 辅助整理，请以论文原文为准。
中文总结 AI 辅助
本研究运用程序修辞学分析生成式AI聊天机器人如何通过专业知识标志影响用户信任，并倡导跨学科词汇以描述和缓解其在信息寻求中的风险。
中文摘要 AI 辅助
本文是我们2026年期刊文章《生成式人工智能时代的专业知识与信息寻求：新程序、新问题》的加演投稿，并针对2026年10月10日举行的CSCW 2026“生成式人工智能在传播中的更广泛影响”研讨会进行了扩展讨论。在原文中，我们运用程序修辞学分析生成式人工智能聊天机器人如何利用专业知识和智能的自然语言标志来影响用户对其可信度的感知。在本次投稿中，我们扩展了在CSCW社区的对话，旨在培养一种跨学科词汇，用于描述、分析和缓解将生成式人工智能整合进人类传播实践所带来的风险。重要的是要理解围绕信息寻求实践的程序如何受到用户价值观、经验和期望的影响，以及这些程序未来可能如何因新兴的向人工智能“专家”和权威的转向而改变。
英文摘要
This paper is an encore submission of our 2026 journal article "Expertise and Information Seeking in the Age of Generative AI: New Procedures, New Problematics" with an extended discussion for the CSCW 2026 "Broader Impacts of GenAI in Communication" Workshop on October 10, 2026. In the original article, we employ procedural rhetoric to analyze how generative AI chatbots leverage natural language signifiers of expertise and intelligence to influence users' perception of their trustworthiness. In this submission, we extend our conversation in the CSCW community with the goal of cultivating a cross-disciplinary vocabulary for describing, analyzing, and mitigating the risks posed by the integration of generative AI into human communication practices. It is important to develop an understanding of how the procedures surrounding information-seeking practices are informed by users' values, experiences, and expectations - and how these procedures might in future be altered by the emerging turn toward AI "experts" and authority.
