The Impact of New Productivity on Library and Information Science—Taking ChatGPT as an Example

本论文从ChatGPT (Generative Pre-trained Transformer)作为新质生产力的角度出发，探讨了其对图情学科的影响及相应的应对策略。首先介绍了ChatGPT的发展背景和图情学科的基本概念，随后分析了ChatGPT对图情学科的影响，包括从业效率提升、跨学科融合等方面。接着探讨了ChatGPT可能带来的挑战与问题，如工作岗位的替代、信息可信度和数据隐私保护等。最后提出了相应的应对策略与措施，包括提升从业者技术水平、加强数据管理与隐私保护等方面。通过全面分析ChatGPT在图情学科中的影响与应对措施，旨在为相关领域的研究者和从业者提供参考与借鉴。This paper explores the impact of ChatGPT (Generative Pre-trained Transformer) as a new form of productivity on Library and Information Science (LIS) and proposes corresponding strategies. It first introduces the development background of ChatGPT and the basic concepts of LIS, followed by an analysis of the impact of ChatGPT on LIS, including improvements in work efficiency and interdisciplinary integration. The paper then discusses the challenges and issues that ChatGPT may bring, such as job replacement, information credibility, and data privacy protection. Finally, it proposes corresponding strategies and measures, including enhancing the technical skills of practitioners, strengthening data management, and privacy protection. Through a comprehensive analysis of the impact of ChatGPT on LIS and the corresponding measures, this paper aims to provide references and insights for researchers and practitioners in related fields.