LEVERAGING ARTIFICIAL INTELLIGENCE FOR THE PRESERVATION AND DEVELOPMENT OF EGGON INDIGENOUS KNOWLEDGE
DOI:
https://doi.org/10.5281/zenodo.17277542Keywords:
Artificial Intelligence, Indigenous Knowledge, Eggon Community, Cultural Preservation, Documentation, NigeriaAbstract
Indigenous Knowledge (IK) is a vital cultural asset for sustainable development, yet it faces erosion from globalization and cultural shifts. This study examines the role of Artificial Intelligence (AI) in preserving and developing Eggon Indigenous Knowledge (IK) in Nasarawa State, Nigeria. Using a descriptive survey design and a multistage sampling approach, data were gathered from 133 respondents across five Eggon communities. Findings reveal that even though spiritual beliefs, oral traditions, and craftsmanship remain vital, IK documentation is limited. Challenges such as low digital literacy, poor internet access, and risks of cultural misrepresentation hinder AI application were identified by respondents. The study recommends culturally sensitive AI tools, improved documentation, and youth engagement to safeguard Eggon IK and ensuring its sustainability and contribution to global heritage
References
Abba, A., & Musa, S. (2019). Cultural erosion and indigenous knowledge preservation in Nigerian rural communities. Journal of African Cultural Studies, 28(3), 245–260.
Aboki, P. (2018). The Eggon people: History, culture, and traditions. Nasarawa Historical Review, 12(4), 89–102.
Berkes, F. (2018). Sacred ecology (4th ed.). Routledge.
Covenant University. (2023). Research: Covenant partners OBTranslate. Covenant University News.
Ethnologue. (2025). Eggon language (EGO) – L1 & L2 speakers, status, map, endangered level & official use. Ethnologue: Languages of the World.
IPCC. (2019). Special report on climate change and land. Intergovernmental Panel on Climate Change.
Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15–25.
Litvinenko, A., Väätänen, J., Koppinen, T., & Mäkinen, S. (2020). Artificial intelligence for cultural heritage preservation. International Journal of Digital Culture, 7(2), 123–139.
Okeke-Uzodike, O. (2022). Indigenous knowledge and social work education in Nigeria: Made in Nigeria or made in the West? Social Work Education, 41(6), 123–140.
Okoronkwor, C. E., Abdullahi, M. L., & Usman, A. M. (2024). Digital preservation of indigenous knowledge in Ramat Library (University of Maiduguri, Nigeria). iPRES 2024 Conference Proceedings.
Taylor, J., Kukutai, T., Nakata, M., & Byrne, A. (2017). Indigenous data sovereignty and AI: Ethical considerations. Journal of Indigenous Studies, 12(3), 89–104.
The Guardian Nigeria. (2019, May 27). Nigerian develops AI platform that can translate over 2000 African languages. The Guardian Nigeria.
The News Chronicle. (2023). The potential of AI in preserving and promoting Nigeria’s cultural heritage. The News Chronicle.
UN. (2020). The sustainable development goals report 2020. United Nations.
UNESCO. (2017). Local knowledge, global goals: Indigenous knowledge systems and sustainable development. UNESCO Publishing.
UNESCO. (2019). Local knowledge, global goals: Indigenous knowledge systems and sustainable development. UNESCO Publishing.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Advance Journal of Current Research

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.