Artificial Intelligence and Machine Learning

Artificial Intelligence (AI) and Machine Learning (ML) are becoming increasingly important in the field of library and information services as they are bringing about efficiency and improved user engagement. The paper discusses different examples of artificial intelligence (AI) and machine learning (ML) applications in libraries categorized under collection development, readers' and reference services, user training and literacy, research data management, and catalogue and metadata services. Emphasis is placed on the need for libraries and Information Centers to leverage generative AI tools to automate routine tasks and deliver personalized services to library users. The paper also examined cases of AI and ML usage in the educational sector and then narrowed down this usage to the context of library and information centers. The implications of AL and ML in library and information centers were discussed with particular reference to implication in terms of requirements. In conclusion, the paper advocates responsible adoption of AI/ML, and need for continuous skill development amongst librarians to be able to effectively navigate the ever changing information environment.

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Publication Details

Journal
International Journal of Librarianship
Published
2026-03-31
DOI
https://doi.org/10.23974/ijol.2026.vol11.1.524
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence and Machine Learning

Magnus Osahon Igbinovia, Sylvester Ebhonu
International Journal of Librarianship
AI in Service Interactions
article

Artificial Intelligence and Machine Learning

Magnus Osahon Igbinovia, Sylvester Ebhonu
article en

Abstract

Artificial Intelligence (AI) and Machine Learning (ML) are becoming increasingly important in the field of library and information services as they are bringing about efficiency and improved user engagement. The paper discusses different examples of artificial intelligence (AI) and machine learning (ML) applications in libraries categorized under collection development, readers' and reference services, user training and literacy, research data management, and catalogue and metadata services. Emphasis is placed on the need for libraries and Information Centers to leverage generative AI tools to automate routine tasks and deliver personalized services to library users. The paper also examined cases of AI and ML usage in the educational sector and then narrowed down this usage to the context of library and information centers. The implications of AL and ML in library and information centers were discussed with particular reference to implication in terms of requirements. In conclusion, the paper advocates responsible adoption of AI/ML, and need for continuous skill development amongst librarians to be able to effectively navigate the ever changing information environment.

International Journal of LibrarianshipVol. 11(1)
Delta State University (NG)
Quality Education
Openalex Percentile: Top 27%
AI in Service Interactions
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