Thesis Abstract

Abstract
The integration of artificial intelligence (AI) technologies in various domains has significantly transformed the way information is processed, managed, and retrieved. This research investigates the impact of AI on information retrieval within library settings. The study aims to explore how AI technologies enhance the efficiency and effectiveness of information retrieval processes in libraries, ultimately improving user experience and satisfaction. The research methodology involves a comprehensive literature review to examine existing studies and developments related to AI applications in libraries and information retrieval. The study also employs a mixed-methods approach, combining qualitative and quantitative data collection methods to gather insights from both library professionals and users. Chapter 1 provides an introduction to the research topic, outlining the background of the study, problem statement, objectives, limitations, scope, significance, and structure of the thesis. Chapter 2 presents a detailed literature review, highlighting key findings and trends in AI applications for information retrieval in libraries. The chapter discusses the benefits and challenges associated with implementing AI technologies in library settings. Chapter 3 describes the research methodology, including the research design, data collection methods, sampling techniques, and data analysis procedures. The chapter also outlines the ethical considerations taken into account during the research process. Chapter 4 presents the findings of the study, analyzing the impact of AI on information retrieval processes in libraries based on the data collected. The results indicate that AI technologies have the potential to significantly improve information retrieval efficiency, accuracy, and relevance in libraries. However, challenges related to data privacy, algorithm bias, and user trust must be addressed to ensure successful implementation. The study also identifies opportunities for further research and development in the field of AI-enhanced information retrieval in libraries. Chapter 5 concludes the thesis by summarizing the key findings, discussing the implications of the research, and providing recommendations for future research and practice. The study contributes to the existing body of knowledge on AI applications in library and information science, offering insights into the potential benefits and challenges of integrating AI technologies into library services. Overall, this research provides valuable insights into the impact of artificial intelligence on information retrieval in libraries, highlighting the opportunities and challenges that come with leveraging AI technologies to enhance library services and user experiences.

Thesis Overview