Exploring the Impact of Artificial Intelligence on Information Retrieval in Libraries

Thesis Abstract

Abstract
The advent of artificial intelligence (AI) has revolutionized various industries, including the field of library and information science. This thesis explores the impact of AI on information retrieval in libraries, focusing on how AI technologies are transforming traditional library services and enhancing the efficiency of information retrieval processes. The study delves into the implications of AI adoption in libraries, examining the benefits, challenges, and opportunities that arise from integrating AI into information retrieval systems. Through a comprehensive literature review, this research investigates the current state of AI applications in libraries, highlighting key trends and developments in the field. Chapter One provides an introduction to the research topic, presenting the background of the study, problem statement, objectives, limitations, scope, significance, and structure of the thesis. The chapter also includes definitions of key terms related to AI and information retrieval in libraries. Chapter Two offers a detailed literature review, comprising ten key items that explore the existing literature on AI technologies in library settings. This section examines the role of AI in information retrieval, the impact of AI on user experience, the challenges of implementing AI in libraries, and the future prospects of AI-driven library services. Chapter Three outlines the research methodology employed in this study, detailing the research design, data collection methods, sampling techniques, and data analysis procedures. This chapter also discusses ethical considerations and the rationale behind the chosen methodology for investigating the impact of AI on information retrieval in libraries. Chapter Four presents an elaborate discussion of the research findings, analyzing the data collected from various sources to evaluate the impact of AI on information retrieval in libraries. This section explores the implications of AI technologies on library services, user satisfaction, and information access, providing insights into the benefits and challenges associated with AI adoption in libraries. Finally, Chapter Five offers a comprehensive conclusion and summary of the thesis, highlighting the key findings, implications, and recommendations for future research in this area. The study concludes by emphasizing the importance of leveraging AI technologies to enhance information retrieval processes in libraries and improve overall service delivery. In conclusion, this thesis contributes to the growing body of knowledge on the impact of AI on information retrieval in libraries, shedding light on the transformative potential of AI technologies in revolutionizing library services and information access. By exploring the implications of AI adoption in libraries, this research aims to guide library professionals and researchers in leveraging AI to optimize information retrieval practices and enhance user experiences in library settings.