Artificial Intelligence and Machine Learning in Academic Libraries in Contemporary Nigeria

Contemporary Practices for Sustainable Library and Information Services: A Festschrift in Honour of Professor Ahiaoma Ibegwam

Authors

  • Mbuotidem Umoh Polytechnic Library, Federal Polytechnic, Ugep Cross River State. Author
  • Etima Umoren Polytechnic Library, Federal Polytechnic, Ugep Cross River State. Author

DOI:

https://doi.org/10.60951/afrischolar-381

Keywords:

Artificial Intelligence, Machine Learning, Academic Libraries, Nigeria
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Abstract

Technology adoption has undoubtedly stimulated advancement in all facets of human endeavour. It has brought about ease, accuracy and speed in performing diverse tasks in many organisations and corporations worldwide. It is believed to have a great eflect on the new world of work such as can be found in the library. Information and Communication Technology has so permeated the fabric of Library operations that concepts like Artificial Intelligence and Machine Learning are interoperable with library systems. In developed countries, Artificial intelligence technologies are now being used in libraries and information centres to achieve the organic integration of readers and libraries. This is a current reality because of extensive innovations in science and technology which has resulted in an explosion. Therefore, the rationale for the incorporation of modern technologies into the routine operations of the library hinges on user satisfaction. Regrettably though, the rampant budget cuts experienced by academic libraries in developing countries has made it near impossible for them to acquire Artificial Intelligence technology. Moreover, poor electric power supply has contributed to this quandary. Unfortunately, despite the digital revolution, academic libraries in the developing nations are not at par with their contemporaries in the developed world. To attain this level of technological development via the acquisition and adaption of Ai systems in academic libraries in developing countries such as Nigeria, it is essential that adequate finding should be provided among others.

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Published

2024-02-18

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How to Cite

Umoh, M., & Umoren, E. (2024). Artificial Intelligence and Machine Learning in Academic Libraries in Contemporary Nigeria: Contemporary Practices for Sustainable Library and Information Services: A Festschrift in Honour of Professor Ahiaoma Ibegwam. Afrischolar Discovery Repository (Annex). https://doi.org/10.60951/afrischolar-381

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