Exploring the Impact of Artificial Intelligence on Information Retrieval in Libraries

Thesis Abstract

Abstract
In the digital age, the field of Library and Information Science is witnessing a significant transformation with the integration of Artificial Intelligence (AI) technologies. This thesis explores the impact of AI on information retrieval in libraries, focusing on how these technologies are revolutionizing the way users access and interact with information resources. The study aims to investigate the implications of AI in enhancing search functionalities, improving user experience, and optimizing information access within library settings. The research begins by providing an introduction to the topic, outlining the background of the study, identifying the problem statement, stating the objectives of the study, discussing the limitations and scope of the research, highlighting the significance of the study, and presenting the structure of the thesis. The definitions of key terms related to AI and information retrieval are also provided to establish a common understanding. A comprehensive literature review is conducted in Chapter Two, which explores ten key themes related to AI and information retrieval in libraries. This section examines the evolution of AI technologies, the role of AI in information organization, the impact of AI on search algorithms and recommendation systems, the integration of AI in digital libraries, user interaction with AI-powered systems, challenges and ethical considerations in AI implementation, and the future trends in AI applications within library contexts. Chapter Three outlines the research methodology employed in this study, detailing the research design, data collection methods, sampling techniques, data analysis procedures, and ethical considerations. The chapter also discusses the selection criteria for the study sample, data validation techniques, and the overall framework for data analysis. In Chapter Four, the findings of the research are elaborated upon, highlighting the key insights gathered from the data analysis. This section presents the implications of AI technologies on information retrieval practices in libraries, the challenges faced in implementing AI solutions, and the opportunities for enhancing user experiences through AI-driven services. Lastly, Chapter Five provides a conclusion and summary of the thesis, summarizing the key findings, discussing the implications of the research outcomes, and offering recommendations for future research and practical applications. The study concludes by emphasizing the transformative potential of AI technologies in reshaping information retrieval processes in libraries and underscores the importance of continued research and innovation in this domain. Overall, this thesis contributes to the growing body of knowledge on the impact of Artificial Intelligence on information retrieval in libraries, offering valuable insights for library professionals, researchers, and policymakers seeking to harness the potential of AI technologies to enhance information access and user services in library environments.