Thesis Abstract

Abstract
The integration of artificial intelligence (AI) technologies in library systems has revolutionized information retrieval processes, offering enhanced efficiency and accuracy. This thesis explores the impact of AI on information retrieval in libraries, focusing on the benefits, challenges, and implications for both library professionals and users. Through a comprehensive literature review, this study examines the current state of AI applications in libraries, highlighting key developments and trends in the field. The research methodology section outlines the approach taken to investigate the effectiveness of AI tools in improving information retrieval processes, including data collection, analysis, and interpretation. Findings from this study reveal that AI technologies, such as natural language processing, machine learning, and semantic analysis, play a crucial role in enhancing search capabilities, personalized recommendations, and content organization in library systems. These advancements not only streamline information retrieval tasks but also empower users to access relevant resources efficiently. However, challenges related to data privacy, bias in algorithms, and user acceptance remain significant concerns that need to be addressed to ensure the ethical and responsible use of AI in libraries. The discussion of findings delves into the implications of AI adoption on library services, user experiences, and information management practices. By analyzing case studies and best practices from libraries that have implemented AI solutions, this thesis provides insights into the strategies for optimizing AI-driven information retrieval processes. Moreover, the study identifies areas for future research and proposes recommendations for librarians, information professionals, and policymakers to leverage the potential of AI in enhancing information services and resources. In conclusion, this thesis underscores the transformative impact of artificial intelligence on information retrieval in libraries, emphasizing the need for continuous innovation, collaboration, and ethical considerations in leveraging AI technologies for the benefit of library users and stakeholders. By embracing AI tools and practices, libraries can evolve into dynamic information hubs that cater to diverse information needs and preferences effectively, shaping the future of information access and discovery in the digital age.

Thesis Overview

The research project titled "Exploring the Impact of Artificial Intelligence on Information Retrieval in Libraries" aims to investigate the influence of artificial intelligence (AI) on the process of information retrieval within library settings. In recent years, AI technologies have rapidly advanced and are increasingly being integrated into various sectors to enhance efficiency and productivity. This study focuses on the specific application of AI in libraries, where information retrieval plays a crucial role in facilitating access to knowledge resources for users. The research will delve into the current landscape of information retrieval practices in libraries and examine how AI technologies, such as natural language processing, machine learning, and data mining, can be leveraged to optimize these processes. By analyzing the impact of AI on information retrieval, the study seeks to identify the benefits, challenges, and implications of adopting AI technologies in library settings. Furthermore, the research will explore the potential changes in user experience, information organization, and search capabilities that AI-driven systems can bring to libraries. By investigating the integration of AI in information retrieval, the study aims to provide insights into how libraries can adapt to technological advancements and enhance their services to meet the evolving needs of users in the digital age. Through a comprehensive examination of the interaction between AI and information retrieval in libraries, this research project aims to contribute to the existing body of knowledge in library and information science. The findings of the study are expected to offer valuable insights for library professionals, researchers, and policymakers seeking to harness the potential of AI technologies to improve information access and retrieval services within library environments.