Project Abstract

Abstract
The integration of artificial intelligence (AI) technologies in libraries has transformed the landscape of information retrieval, offering new opportunities as well as challenges. This research examines the impact of AI on information retrieval in libraries, focusing on how these technologies are changing the way users access and interact with information resources. The study explores the various AI applications implemented in libraries, such as natural language processing, machine learning, and recommendation systems, to enhance information retrieval processes. Chapter one provides an introduction to the research topic, presenting the background of the study, problem statement, research objectives, limitations, scope, significance, structure of the research, and definitions of key terms. Chapter two conducts a comprehensive literature review, analyzing ten key studies that investigate the impact of AI on information retrieval in libraries. The review covers topics such as AI technologies, information retrieval systems, user experiences, and challenges faced by libraries in adopting AI solutions. Chapter three outlines the research methodology employed in this study, including the research design, data collection methods, sampling techniques, data analysis procedures, and ethical considerations. The chapter also discusses the theoretical framework guiding the research and justifies the chosen methodology for investigating the impact of AI on information retrieval in libraries. In chapter four, the findings of the research are presented and extensively discussed. The chapter explores how AI technologies have improved information retrieval efficiency, accuracy, and relevance in libraries. It also addresses the challenges and limitations faced by libraries in implementing AI solutions and the implications for library professionals, users, and information access. Finally, chapter five offers a conclusion and summary of the research project, highlighting the key findings, implications, and recommendations for future research and practice. The study concludes that AI technologies have a significant impact on information retrieval in libraries, offering opportunities to enhance user experiences and improve access to information resources. However, challenges such as data privacy, algorithm bias, and user trust must be addressed to maximize the benefits of AI in library settings. In conclusion, this research contributes to the existing literature on the impact of artificial intelligence on information retrieval in libraries, shedding light on the opportunities and challenges presented by AI technologies. By understanding the implications of AI in library contexts, stakeholders can make informed decisions to leverage these technologies effectively and enhance information access for users in the digital age.

Project Overview