Librarians’ Awarness, Perception and Disposition Towards the Use of Artificial Intelligence (AI) in Nigeria Libraries

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DOI:

https://doi.org/10.65861/glj.v30i3.8

Keywords:

Artificial Intelligence (AI), librarians, libraries, technology, Nigeria

Abstract

The study investigated librarians’ awareness and disposition towards the use of Artificial Intelligence (AI) in Nigeria libraries. The study adopted the descriptive survey design method and the population of the study comprised a sample of 507 librarians from different types of libraries who attended the Nigeria Library Association (NLA) 62nd annual national conference/ AGM held On July 7th-12th, 2024. The target population is the total number of participants in the conference. The instrument used to obtain data from the respondents was questionnaire. A total of 507 surveys were issued to librarians, with 488 completed and returned, reflecting a 96.2% of the entire population. The questionnaire was analyzed using descriptive statistics, which was subjected to a criterion mean of 2.5 and above as accepted while below 2.5 is rejected. The findings of this study revealed that librarians are aware of the use of AI for library services on an average level. The findings also show that librarians have a positive disposition towards the adoption of AI but with some uncertainty on how the technology is going to affect their job. The result also shows that librarians perceive the benefits of AI in the library to include increase access to information resources and reduction of manual task for librarians. The perceived challenges, as reflected in the findings includes, fear of job loss, high cost of implementing AI systems and unstable electricity supply among others. It was concluded from the findings that librarians in Nigeria are averagely aware of the use of AI in libraries and also majority has a positive disposition towards its adoption. The study recommended that librarians should keep up with trends in the use of AI in libraries by acquiring new knowledge and skills that will prepare ahead of its adoption and use.

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References

Benjamin, R. (2019). Race after technology: Abolitionist tools for the new Jim Code. Polity Press.

Borges, A. F., Laurindo, F. J., Spínola, M. M., Gonçalves, R. F., & Mattos, C. A. (2021). The strategic use of artificial intelligence in the digital era: Systematic literature review and future research directions. International Journal of Information Management, 57, 102225. https://doi.org/10.1016/j.ijinfomgt.2020.102225 DOI: https://doi.org/10.1016/j.ijinfomgt.2020.102225

Bryant, R. (2019). The cost of artificial intelligence. Information Today, 36(6), 1–3.

Bubinger, H., & Dinneen, J. D. (2021). Actionable approaches to promote ethical AI in libraries. College & Research Libraries News, 82(9), 418. https://doi.org/10.5860/crln.82.9.418 DOI: https://doi.org/10.5860/crln.82.9.418

Cox, A. M. (2021). The impact of AI, machine learning, automation and robotics on the information professions. CILIP. https://www.cilip.org.uk/general/custom.asp?page=researchreport

Eiriemiokhale, K. A., & Sulyman, A. S. (2023). Awareness and perceptions of artificial intelligence among librarians in university libraries in Kwara State, Nigeria. Indonesian Journal of Librarianship, 4(2), 107–118. https://doi.org/10.33701/ijolib.v4i2.3364 DOI: https://doi.org/10.33701/ijolib.v4i2.3364

Faber, H. C., Gasparini, A., & Grote, M. (2022). Artificial intelligence-based tools in the context of Open Science (Report No. 2022-08). UiT The Arctic University of Norway. https://doi.org/10.7557/5.6636 DOI: https://doi.org/10.7557/5.6636

Ferrara, E., Varol, O., Davis, C., Menczer, F., & Flammini, A. (2016). The rise of social bots. Communications of the ACM, 59(7), 96–104. https://doi.org/10.1145/2818717 DOI: https://doi.org/10.1145/2818717

Garoufallou, E., & Gaitanou, P. (2021). Big data: Opportunities and challenges in libraries: A systematic literature review. College & Research Libraries, 82(3), 410–435. https://doi.org/10.5860/crl.82.3.410 DOI: https://doi.org/10.5860/crl.82.3.410

Guzman, A. L., & Lewis, S. C. (2020). Artificial intelligence and communication: A human–machine communication research agenda. New Media & Society, 22(1), 70–86. https://doi.org/10.1177/1461444819858691 DOI: https://doi.org/10.1177/1461444819858691

Igwe, K. N., & Sulyman, S. A. (2022). Smart libraries: Changing the paradigms of library services. Business Information Review, 39(4), 179–184. https://doi.org/10.1177/02663821221110042 DOI: https://doi.org/10.1177/02663821221110042

Korinek, A., & Stiglitz, J. E. (2017). Artificial intelligence and its implications for income distribution and unemployment (NBER Working Paper No. 24174). National Bureau of Economic Research. https://www.nber.org/papers/w24174 DOI: https://doi.org/10.3386/w24174

Marconi, F., & Siegman, A. (2017). The future of augmented journalism: A guide for newsrooms in the age of smart machines. The Associated Press. https://insights.ap.org/uploads/images/the-future-of-augmented-journalism_apreport.pdf

Memela, M. A. (2023). Artificial intelligence (AI): Enlightening academic libraries on the phenomenon. Journal of Information Processing, 2(3), 1–10. https://doi.org/10.13140/RG.2.2.32481.89443

Owolabi, K. A., Fauziyah, N. A., Adeleke, O. A., Taiwo, A. A., & Adesina, O. A. (2021). Awareness and perception of artificial intelligence in the management of university libraries in Nigeria. Journal of Interlibrary Loan, Document Delivery & Electronic Reserve, 29(3–5), 121–139. https://doi.org/10.1080/1072303X.2021.1918602 DOI: https://doi.org/10.1080/1072303X.2021.1918602

Panda, S., & Chakravarty, R. (2022). Adapting intelligent information services in libraries: A case of smart AI chatbots. Library Hi Tech News, 39(2), 17–20. https://doi.org/10.1108/LHTN-11-2021-0081 DOI: https://doi.org/10.1108/LHTN-11-2021-0081

Peter, J., & Kühne, R. (2018). The new frontier in communication research: Why we should study social robots. Media and Communication, 6(3), 73–76. https://doi.org/10.17645/mac.v6i3.1591 DOI: https://doi.org/10.17645/mac.v6i3.1596

Reeves, J. (2016). Automatic for the people: The automation of communicative labor. Communication and Critical/Cultural Studies, 13(2), 150–165. https://doi.org/10.1080/14791420.2015.1086424 DOI: https://doi.org/10.1080/14791420.2015.1108450

Ridge, M. (2019). Operationalizing AI at a national library [Conference session]. Museums + AI Network. https://www.slideshare.net/miaridge/operationalising-ai-at-a-national-library

Ryan, M. (2020). In AI we trust: Ethics, artificial intelligence, and reliability. Science and Engineering Ethics, 26(5), 2749–2767. https://doi.org/10.1007/s11948-020-00228-y DOI: https://doi.org/10.1007/s11948-020-00228-y

Spanaki, K., Sivarajah, U., Fakhimi, M., Despoudi, S., & Irani, Z. (2021). Disruptive technologies in agricultural operations: A systematic review of AI-driven AgriTech research. Annals of Operations Research. Advance online publication. https://doi.org/10.1007/s10479-021-03983-8 DOI: https://doi.org/10.1007/s10479-020-03922-z

Tavakoli, S. S., Mozaffari, A., Danaei, A., & Rashidi, E. (2022). Explaining the effect of artificial intelligence on the technology acceptance model in media: A cloud computing approach. The Electronic Library, 41(1), 1–29. https://doi.org/10.1108/EL-04-2022-0094 DOI: https://doi.org/10.1108/EL-04-2022-0094

Tella, A. (2020). Robots are coming to the libraries: Are librarians ready to accommodate them? Library Hi Tech News, 37(8), 13–17. https://doi.org/10.1108/LHTN-05-2020-0047 DOI: https://doi.org/10.1108/LHTN-05-2020-0047

University of Lagos. (2020, December 17). University of Lagos receives donation of robots from Platform Capital. https://unilag.edu.ng/?p=6902

Urhefe-Okotie, E. A. (2023). Marketing techniques and skills required by librarians for the promotion of library services and resources utilization in academic libraries in Nigeria: The 21st century perspective. Library Philosophy and Practice, 2023, 1–19. https://digitalcommons.unl.edu/libphilprac/7430

Watkins, T., & Cain, J. (2022). Systemic racism in data practices. International Quarterly of Community Health Education, 43(4), 347–349. https://doi.org/10.1177/0272684X221075438 DOI: https://doi.org/10.29173/iq1079

Winata, A. P., Fadelina, R., & Basuki, S. (2020). New normal and library services in Indonesia: A case study of university libraries. Digital Library Perspectives, 37(1), 5–22. https://doi.org/10.1108/DLP-07-2020-0059 DOI: https://doi.org/10.1108/DLP-07-2020-0059

World Bank. (2016). World development report 2016: Digital dividends. World Bank. https://doi.org/10.1596/978-1-4648-0671-1 DOI: https://doi.org/10.1596/978-1-4648-0671-1

Yusuf, T. I., Adebayo, O. A., Lateef, B., & Kayode, J. O. (2022). Adoption of artificial intelligence for effective library service delivery in academic libraries in Nigeria. Library Philosophy and Practice, 2022, 1–18. https://digitalcommons.unl.edu/libphilprac/6804

Zimmer, M. (2018). Addressing conceptual gaps in big data research ethics: An application of contextual integrity. Social Media + Society, 4(2). https://doi.org/10.1177/2056305118768300 DOI: https://doi.org/10.1177/2056305118768300

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Published

12-12-2025

How to Cite

Urhefe-Okotie, E.A. (2025) “Librarians’ Awarness, Perception and Disposition Towards the Use of Artificial Intelligence (AI) in Nigeria Libraries”, Ghana Library Journal, 30(3), pp. 70–80. doi:10.65861/glj.v30i3.8.

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