X-Raying ChatGPT Potentials for Sustainable Library and Information Science Research

Abstract

This paper explores the potential applications of ChatGPT, an advanced language generation model developed by OpenAI, in sustainable research within the field of Library and Information Science (LIS). ChatGPT has attracted attention due to its ability to generate text that resembles human language and engage in interactive conversations, making it a valuable tool for LIS researchers. Previous studies have demonstrated its effectiveness in assisting librarians with reference queries and enhancing user experiences. However, some ethical concerns and challenges must be carefully addressed to ensure the responsible and sustainable utilization of ChatGPT. These include addressing biases, ensuring information accuracy, promoting ethical use, protecting user privacy, and improving explainability. This paper discusses the benefits of integrating ChatGPT into various aspects of LIS research, such as information retrieval, knowledge organization, user interaction, collaboration, and decision-making. It emphasizes the importance of considering ethical considerations and proposes future directions for integration, such as domain-specific training, knowledge base integration, collaboration, ethical guidelines, evaluation methodologies, user-centred design, and interdisciplinary collaboration. By embracing these directions, ChatGPT can be effectively integrated into sustainable LIS research, driving advancements in the field and empowering researchers to address the complex challenges of the evolving information landscape.