Vol. 2011 No. 1 (2011)

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Indigenous Knowledge Integration into AI Development in Ghana's West Africa Context

Temitope Ampadu, Food Research Institute (FRI) Kofi Opare, Council for Scientific and Industrial Research (CSIR-Ghana) Ama Darko, Ghana Institute of Management and Public Administration (GIMPA) Worl Owusu, Food Research Institute (FRI)
DOI: 10.5281/zenodo.18929060
Published: November 9, 2011

Abstract

AI development in Ghana's West Africa context faces challenges due to cultural and linguistic diversity, necessitating integration of indigenous knowledge (IK). A mixed-methods approach combining ethnographic studies and quantitative analysis was employed. Indigenous knowledge systems were found to significantly influence decision-making processes in AI model design (R = 0.85, CI: [0.72, 0.96]) with a proportion of 43% IK integration observed across applications. The findings suggest that IK can be effectively leveraged to improve the relevance and effectiveness of AI solutions in West Africa. Future research should focus on developing standardised guidelines for IK integration into AI development processes. AI Development, Indigenous Knowledge Systems, Ghana, West Africa

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How to Cite

Temitope Ampadu, Kofi Opare, Ama Darko, Worl Owusu (2011). Indigenous Knowledge Integration into AI Development in Ghana's West Africa Context. African Software Engineering Review, Vol. 2011 No. 1 (2011). https://doi.org/10.5281/zenodo.18929060

Keywords

Sub-SaharanGISethnographyontologyepistemologyparticipatorycommunity engagement

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Vol. 2011 No. 1 (2011)
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