  As the concept and implementation of cutting-edge technologies like
artificial intelligence and machine learning has become relevant, academics,
researchers and information professionals involve research in this area. The
objective of this systematic literature review is to provide a synthesis of
empirical studies exploring application of artificial intelligence and machine
learning in libraries. To achieve the objectives of the study, a systematic
literature review was conducted based on the original guidelines proposed by
Kitchenham et al. (2009). Data was collected from Web of Science, Scopus, LISA
and LISTA databases. Following the rigorous/ established selection process, a
total of thirty-two articles were finally selected, reviewed and analyzed to
summarize on the application of AI and ML domain and techniques which are most
often used in libraries. Findings show that the current state of the AI and ML
research that is relevant with the LIS domain mainly focuses on theoretical
works. However, some researchers also emphasized on implementation projects or
case studies. This study will provide a panoramic view of AI and ML in
libraries for researchers, practitioners and educators for furthering the more
technology-oriented approaches, and anticipating future innovation pathways.
