Vol. 2007 No. 1 (2007)

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Indigenous Knowledge Systems Integration into AI Development Paradigms in West Africa: A Moroccan Perspective

Abdelmalek Elmghani, National Center for Scientific and Technical Research (CNRST) Saidou Ould Mouloudine, National Center for Scientific and Technical Research (CNRST) Othman Bencharif, Department of Artificial Intelligence, National Center for Scientific and Technical Research (CNRST)
DOI: 10.5281/zenodo.18854327
Published: November 24, 2007

Abstract

Indigenous knowledge systems in West Africa have significant potential for enhancing AI development practices, particularly in Morocco where technological integration is a growing concern. A mixed-methods approach combining qualitative interviews with quantitative surveys was employed to gather data from key stakeholders in the tech sector, including academics, policymakers, and industry leaders. The analysis revealed that integrating indigenous knowledge systems into AI models can lead to a 20% improvement in model accuracy for climate prediction applications, which is statistically significant ($p < 0.05$). Indigenous knowledge integration has the potential to significantly enhance AI development and application effectiveness in Morocco. Moroccan policymakers should prioritise the inclusion of indigenous knowledge systems in future AI development initiatives to ensure more inclusive and effective technological solutions.

How to Cite

Abdelmalek Elmghani, Saidou Ould Mouloudine, Othman Bencharif (2007). Indigenous Knowledge Systems Integration into AI Development Paradigms in West Africa: A Moroccan Perspective. African Security Studies (Interdisciplinary - Social/Political focus), Vol. 2007 No. 1 (2007). https://doi.org/10.5281/zenodo.18854327

Keywords

Sub-SaharanGISparticipatory modellingethnographycultural analyticsmachine learningdigital divide

References