Thesis Abstract

Abstract
This thesis investigates the impact of Artificial Intelligence (AI) on enhancing library services. The continuous advancement of technology has transformed the traditional library landscape, prompting libraries to adopt AI to improve efficiency, accessibility, and user experience. The research explores various AI applications such as chatbots, recommendation systems, and data analytics in the context of library services. Through a comprehensive literature review, this study examines the benefits and challenges of integrating AI in libraries, highlighting the potential to revolutionize information retrieval, user engagement, and resource management. The methodology section outlines the research design, data collection methods, and analysis techniques employed to investigate the utilization of AI in libraries. A mixed-method approach involving surveys, interviews, and case studies is utilized to gather insights from library professionals, users, and AI experts. The findings reveal the current state of AI implementation in libraries, identifying key success factors and barriers to adoption. The discussion section delves into the implications of these findings, offering recommendations for libraries seeking to leverage AI effectively to enhance their services. The conclusion synthesizes the research findings, emphasizing the transformative potential of AI in redefining library services. By harnessing AI technologies, libraries can personalize user interactions, streamline operations, and expand access to information resources. The study underscores the importance of proactive planning, staff training, and user engagement strategies to maximize the benefits of AI integration in libraries. Overall, this research contributes to the growing body of knowledge on AI applications in the library sector and provides actionable insights for libraries looking to embrace the digital future.

Thesis Overview