随着人工智能技术的快速发展，“科学智能（AI4S）”这一新型研究范式应运而生，并重塑着科学研究的基本逻辑。探讨AI4S对科技情报领域研究的影响与响应机制，有助于为科技情报学的未来发展提供理论支撑与路径指引。文章从AI4S时代的科技情报领域研究图景回溯出发，基于BerTopic与LLM开展主题识别与演化分析，总结科技情报领域研究对AI4S的响应能力与局限性。在此基础上，讨论AI4S影响下的科技情报领域研究范式变革与问题重构，从理论逻辑、研究对象、研究视角、功能定位等维度提出了AI4S时代科技情报领域研究新范式，并面向科技情报领域的传统与新型研究任务剖析了研究问题的转移。研究发现，目前科技情报领域的研究更多地聚焦于“利用现成的数据智能极大地便利智能情报”，而未来应深度探索基于情报的智能，充分发挥科技情报的主导作用。
With the rapid development of artificial intelligence, a new research paradigm, "Artificial Intelligence for Science (AI4S)," has emerged and is reshaping the fundamental logic of scientific research. Exploring the impact of AI4S on research in the field of scientific and technical information and its response mechanisms will help provide theoretical support and guidance for the future development of scientific and technical information science. This article reviews the landscape of scientific and technical information research in the AI4S era, conducts topic identification and evolution analysis based on BerTopic and LLM, and summarizes the responsiveness and limitations of scientific and technical information research to AI4S. Furthermore, it discusses the paradigm shift and problem reconstruction in the field of scientific and technical information under the influence of AI4S. A new paradigm for scientific and technical information research in the AI4S era is proposed from the perspectives of theoretical logic, research objects, research perspectives, and functional positioning. Moreover, the shift of research problems is analyzed with respect to traditional and new research tasks in the field of scientific and technological information. The study finds that current research in the field of scientific and technical information focuses more on "leveraging readily available data intelligence to greatly facilitate intelligent information." Future research should explore information-based intelligence in -depth, fully leveraging the leading role of scientific and technical information.
