Exploring the Impact of Artificial Intelligence on Information Retrieval in Libraries

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, and libraries are not exempt from this transformative wave. The study aims to explore how AI tools and techniques influence the way information is accessed, organized, and retrieved in libraries, ultimately enhancing user experience and optimizing library services. The research begins with a comprehensive review of the existing literature on AI in libraries, highlighting key studies, trends, and theoretical frameworks that underpin the integration of AI in information retrieval processes. This literature review serves as the foundation for understanding the current landscape and identifying gaps in research that warrant further investigation. Methodologically, this study adopts a mixed-methods approach, combining quantitative analysis of usage data and qualitative assessment through interviews with librarians and library users. By utilizing both approaches, the research seeks to provide a holistic perspective on the implications of AI on information retrieval practices in libraries. The findings reveal that AI technologies such as natural language processing, machine learning, and recommender systems have significantly transformed the way information is accessed and retrieved in libraries. These tools enable more personalized and efficient retrieval processes, leading to improved user satisfaction and engagement with library resources. The discussion of findings delves into the opportunities and challenges associated with integrating AI in library information retrieval systems. While AI offers immense potential for enhancing library services, concerns regarding data privacy, algorithm bias, and user autonomy must be carefully addressed to ensure ethical and equitable information access for all library patrons. In conclusion, this thesis underscores the transformative impact of AI on information retrieval in libraries and emphasizes the need for ongoing research and dialogue to harness the full potential of AI technologies while upholding ethical standards and user-centric design principles. By embracing AI as a strategic enabler of information services, libraries can adapt to the evolving information landscape and better meet the diverse needs of their users in the digital age.