Author Information
Johnson Masinde, University of Embu, KenyaDaniel Muthee, Kenyatta University, Kenya
Abstract
This study employed systematic review methodology to explore 67 articles at the intersection of Artificial Intelligence technologies and indigenous knowledge management in Specialized Kenyan libraries between 2021 to 2025. The target journals included African Online Journal, Web of Science and ACM digital library. The findings show that the adoption of AI technologies in indigenous knowledge management among Specialized Kenyan libraries remains at the conceptual phase. Indigenous knowledge management activities and practices are unstructured, fragmented and unsupported by artificial intelligence technologies. The libraries face challenges such as insufficient technical capacity, absence of a defined policy framework, inadequate funding, and limited goodwill from key stakeholders. Nonetheless, artificial intelligence technologies present significant opportunities in Specialized Kenyan libraries. AI technologies have the potential to revolutionize, enrich and optimize indigenous knowledge management, use and application. However, meaningful progress and impact has to be achieved to strengthen the technical capacity of information professionals, develop supportive policy framework and infrastructure and also advance context-specific AI tools. This study contributes to literature by closing the gap on AI and indigenous knowledge management in African special libraries. It also offers insights to practitioners, policy makers and researchers seeking to safeguard indigenous knowledge in the phase of AI.
Paper Information
Conference: ECAH2026Stream: Humanities - Knowledge
Published: Wednesday, September 23, 2026
This paper is part of the ECAH2026 Conference Proceedings (View)
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To cite this article:
Masinde J., & Muthee D. (2026) A Systematic Review of Artificial Intelligence Technologies and Indigenous Knowledge Management in Special Libraries in Kenya ISSN: 2188-1111 – The European Conference on Arts & Humanities 2026: Official Conference Proceedings (pp. 231-245) https://doi.org/10.22492/issn.2188-1111.2026.19
To link to this article: https://doi.org/10.22492/issn.2188-1111.2026.19
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