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Integrating Indigenous Knowledge Systems into AI Development in West Africa: A Scoping Review within Malawi Context

Type de record:

paper
Créateur:
MulChi
Éditeur:
Zenodo
Hôte:avatar

The integration of Indigenous Knowledge Systems (IKS) into Artificial Intelligence (AI) development is a burgeoning field in Computer Science. A systematic search strategy was employed across multiple databases including Web of Science, Google Scholar, and relevant journals in Computer Science. The inclusion criteria were articles published between and that discussed AI development or integration of IKS with a focus on West Africa, particularly Malawi. The analysis identified a proportion of 45% (n=67) of the reviewed studies highlighting the importance of cultural sensitivity in AI models to ensure relevance and acceptance among local communities. However, only one-third (n=23) of these studies provided specific examples or case studies demonstrating successful integration. While there is growing interest in integrating IKS into AI development within Malawi's context, the empirical evidence supporting such practices remains limited. Further research should prioritise methodological rigor and practical implementation to validate theoretical frameworks. Policy makers are encouraged to develop guidelines that promote ethical and culturally sensitive AI development initiatives.

Visit

doi.org

Tags

African developmentAI ethicsindigenous knowledge systemsmachine learningqualitative research methodsWest Africa

Licenses

info:eu-repo/semantics/openAccessCreative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

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