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.

Thesis Overview

The project titled "The Impact of Artificial Intelligence on Information Retrieval in Libraries" aims to investigate the profound influence of artificial intelligence (AI) on the process of information retrieval within library settings. With the rapid advancements in AI technologies, libraries are increasingly adopting such tools to enhance their services and provide more efficient access to information for patrons. This research seeks to explore the various ways in which AI is shaping information retrieval practices in libraries and the implications of these changes on both library users and professionals. The study will begin with a comprehensive review of the existing literature on AI and information retrieval in libraries. This will provide a solid foundation for understanding the key concepts, theories, and trends in this field. The review will cover topics such as the evolution of AI applications in libraries, the benefits and challenges of using AI for information retrieval, and the role of librarians in implementing AI technologies. Moving forward, the research will delve into the methodology section, where the approach for data collection and analysis will be outlined. Various research methods such as surveys, interviews, and case studies may be utilized to gather insights from library users, librarians, and AI experts. The research methodology will also address ethical considerations and potential limitations of the study. The core of the project will focus on the discussion of findings, where the empirical data collected will be analyzed and interpreted. This section will explore the specific ways in which AI is impacting information retrieval processes in libraries, including the automation of cataloging, personalized recommendations, natural language processing for search queries, and the integration of AI chatbots for user assistance. The discussion will also highlight the challenges faced by libraries in adopting AI technologies, such as data privacy concerns, user trust issues, and the need for upskilling library staff. In conclusion, the study will provide a summary of the key findings and their implications for the future of information retrieval in libraries. Recommendations for best practices in integrating AI tools, training programs for librarians, and strategies for ensuring user privacy and data security will be discussed. The project aims to contribute to the growing body of knowledge on the intersection of AI and library services, offering valuable insights for library professionals, researchers, and policymakers seeking to harness the potential of AI for enhancing information access and retrieval in libraries.