The Impact of Artificial Intelligence on Information Retrieval in Libraries

Thesis Abstract

Abstract
The rapid advancement of artificial intelligence (AI) technologies has brought about transformative changes in various industries, including the field of library and information science. This thesis examines the impact of AI on information retrieval in libraries, focusing on the benefits and challenges associated with the integration of AI technologies in library operations. The study investigates how AI tools and techniques are being utilized to enhance information retrieval processes, improve user experiences, and optimize library services. The research begins with an exploration of the theoretical background of AI and its applications in the library sector. A comprehensive literature review is conducted to analyze existing studies on the topic, identifying key trends, challenges, and opportunities in the field of AI-driven information retrieval in libraries. The review also highlights the evolving role of libraries in the digital age and the potential of AI to revolutionize traditional library services. The methodology chapter details the research design, data collection methods, and analysis techniques employed in the study. A mixed-methods approach is utilized, combining qualitative interviews with library professionals and quantitative surveys of library users to gather insights on the current state of AI adoption in libraries and its impact on information retrieval practices. The findings chapter presents the results of the study, highlighting the key themes and patterns that emerged from the data analysis. The findings reveal the various ways in which AI technologies are being used in libraries to enhance information retrieval, including natural language processing, machine learning algorithms, and intelligent search systems. The benefits of AI integration in libraries are discussed, such as improved search accuracy, personalized recommendations, and enhanced user engagement. The discussion chapter delves into the implications of the study findings, addressing the challenges and ethical considerations associated with AI adoption in libraries. The potential risks of AI bias, data privacy concerns, and user trust issues are examined, along with recommendations for mitigating these challenges and promoting responsible AI use in libraries. In conclusion, this thesis provides valuable insights into the impact of artificial intelligence on information retrieval in libraries, shedding light on the opportunities and challenges that AI presents for the future of library services. The study contributes to the growing body of literature on AI in libraries and offers practical recommendations for librarians, policymakers, and researchers seeking to leverage AI technologies for improving information access and services in libraries.