African Cyber Security Studies (Technology Focus)

Advancing Scholarship Across the Continent

Vol. 2006 No. 1 (2006)

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Integrating Indigenous Knowledge Systems into AI Development in Equatorial Guinea: A Systematic Review

Gabriel Ndo, National University of Equatorial Guinea (UNGE) Francisco Mbonde, Department of Data Science, National University of Equatorial Guinea (UNGE) Isaac Bié, Department of Cybersecurity, National University of Equatorial Guinea (UNGE)
DOI: 10.5281/zenodo.18830015
Published: March 14, 2006

Abstract

Indigenous knowledge systems (IKS) in Equatorial Guinea are rich sources of traditional wisdom that can enhance AI development. A comprehensive search strategy was employed to identify relevant studies. Studies were screened, assessed for quality, and synthesized using thematic analysis. The integration of IKS themes such as environmental sustainability and cultural values significantly improved AI model accuracy by up to 15% in certain applications. Indigenous knowledge can be effectively incorporated into AI models, particularly in areas like environmental monitoring and cultural heritage preservation. Developers should prioritise collaboration with local communities to leverage IKS. Policy makers should support research and development initiatives that integrate IKS. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.

How to Cite

Gabriel Ndo, Francisco Mbonde, Isaac Bié (2006). Integrating Indigenous Knowledge Systems into AI Development in Equatorial Guinea: A Systematic Review. African Cyber Security Studies (Technology Focus), Vol. 2006 No. 1 (2006). https://doi.org/10.5281/zenodo.18830015

Keywords

GeographicAfricaBantuAIIndigenousKnowledgeIntegration

References