Thesis Abstract

Abstract
The integration of artificial intelligence (AI) technologies in libraries has introduced significant changes in information retrieval processes. This thesis investigates the impact of AI on information retrieval in libraries, focusing on how these technologies enhance efficiency and user experience. The study delves into the theoretical foundations of AI and its applications in library settings, emphasizing the potential benefits and challenges associated with its implementation. Through a comprehensive literature review, key insights are gathered on the current state of AI in libraries, highlighting trends, best practices, and emerging issues. The research methodology section outlines the approach taken to explore the impact of AI on information retrieval in libraries. Utilizing a combination of qualitative and quantitative methods, data is collected through surveys, interviews, and case studies to capture diverse perspectives from librarians, researchers, and library users. The findings reveal the various ways in which AI technologies are transforming information retrieval processes, including improved search algorithms, personalized recommendations, and enhanced user interfaces. In the discussion of findings, the thesis analyzes the implications of AI adoption in libraries, addressing concerns related to privacy, bias, and the displacement of traditional library roles. By examining real-world examples and case studies, the study provides practical insights into the challenges and opportunities that arise from integrating AI in library services. Furthermore, the discussion explores the potential for AI to support information literacy initiatives and promote equitable access to information resources. In conclusion, this thesis synthesizes the key findings and implications of the research, emphasizing the need for thoughtful planning and ethical considerations in leveraging AI for information retrieval in libraries. The study underscores the importance of collaboration between librarians, technologists, and policymakers to ensure responsible AI deployment and maximize the benefits for library users. Ultimately, the research contributes to a deeper understanding of the evolving role of AI in libraries and provides recommendations for future research and practice in this dynamic field.

Thesis Overview