AI and Machine Learning Applications in Libraries: A Systematic Review

A systematic review of empirical studies has synthesized research on the application of artificial intelligence (AI) and machine learning (ML) in libraries. The review, which analyzed thirty-two selected articles, found that current research in the LIS domain primarily focuses on theoretical aspects, with some implementation projects and case studies also noted. This work aims to offer a broad overview of AI and ML in libraries to guide researchers, practitioners, and educators in developing technology-oriented approaches and anticipating future innovations. AI

IMPACT Provides a foundational overview of AI and ML applications within library science, guiding future research and practical implementation.

RANK_REASON This is a systematic review paper published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

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• Artificial Intelligence
• Kitchenham et al.
• Libraries
• LISA
• LIS domain
• LISTA
• Machine Learning
• Rajesh Das
• Scopus
• Web of Science

• paper
• other

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