The Impact of Artificial Intelligence on Information Retrieval in Libraries

Thesis Abstract

Abstract
This thesis investigates the impact of artificial intelligence (AI) on information retrieval within library settings. The rapid advancement of AI technologies has revolutionized various industries, including the field of library and information science. This study aims to explore how AI tools and techniques are transforming the way information is retrieved and accessed in libraries, with a focus on improving efficiency, accuracy, and user experience. The research begins with an introduction that provides an overview of the significance of AI in the context of information retrieval in libraries. The background of the study delves into the evolution of AI technologies and their applications in the library sector. The problem statement highlights the existing challenges and limitations in traditional information retrieval methods and sets the stage for the objectives of the study, which include analyzing the impact of AI on information retrieval, identifying key AI technologies used in libraries, and assessing the benefits and limitations of AI implementation. The literature review chapter synthesizes existing research on AI in library and information science, covering topics such as natural language processing, machine learning, and recommendation systems. The chapter provides a comprehensive overview of the current state of AI applications in libraries and highlights gaps in the literature that this study aims to address. The research methodology chapter outlines the research design, data collection methods, and analysis techniques employed in this study. The chapter details the process of data collection, including surveys, interviews, and case studies, to gather insights from library professionals and users regarding their experiences with AI-based information retrieval systems. The findings chapter presents the results of the study, including an analysis of the impact of AI on information retrieval in libraries, the key AI technologies adopted by libraries, and the benefits and challenges associated with AI implementation. The chapter discusses the implications of these findings for library professionals and provides recommendations for future research and practice in this area. In conclusion, this thesis underscores the transformative potential of AI in enhancing information retrieval processes in libraries. By leveraging AI technologies, libraries can improve the efficiency and effectiveness of information access, ultimately enhancing the user experience and advancing the field of library and information science. The findings of this study contribute to the growing body of literature on AI in libraries and offer valuable insights for researchers, practitioners, and policymakers seeking to harness the power of AI for information retrieval in library settings.