Exploring the Impact of Artificial Intelligence on Information Retrieval in Libraries

Thesis Abstract

Abstract
The integration of artificial intelligence (AI) technologies in library and information science has revolutionized traditional information retrieval processes. This thesis explores the impact of AI on information retrieval in libraries, focusing on how AI algorithms and tools enhance the efficiency and effectiveness of information access for library users. The study delves into the theoretical foundations of AI in the context of library services and investigates practical applications and implications for library professionals and patrons. Chapter 1 provides an introduction to the research topic, outlining the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of key terms. The chapter sets the stage for understanding the role of AI in information retrieval within library settings. Chapter 2 presents a comprehensive literature review consisting of ten key components. This review synthesizes existing research on AI technologies in libraries, highlighting their impact on information retrieval processes, user experiences, and overall library services. The chapter explores various AI applications, challenges, and opportunities for libraries in adopting these technologies. Chapter 3 details the research methodology employed in this study. It covers the research design, data collection methods, sampling techniques, data analysis procedures, and ethical considerations. The chapter provides insights into how data was gathered and analyzed to investigate the impact of AI on information retrieval in libraries. Chapter 4 offers an in-depth discussion of the findings derived from the research. This chapter explores the outcomes of the study, including the effects of AI implementation on information retrieval practices, user satisfaction, and library operations. The discussion delves into the implications of these findings for library professionals and policymakers. Chapter 5 presents the conclusion and summary of the thesis. It synthesizes the key findings, discusses the implications for theory and practice, and offers recommendations for future research in this area. The chapter concludes by reflecting on the significance of AI in shaping the future of information retrieval in libraries and the broader field of library and information science. Overall, this thesis contributes to the understanding of how AI technologies are transforming information retrieval processes in libraries. By examining the impact of AI on library services, this study provides valuable insights for library professionals, researchers, and stakeholders seeking to leverage AI to enhance information access and user experiences in library settings.