BRIDGING THE GAP: EXPLORING THE INTERSECTION OF ARTIFICIAL INTELLIGENCE AND INDIGENOUS KNOWLEDGE SYSTEMS (IKS) IN AFRICA FOR SUSTAINABLE DEVELOPMENT

Abstract

The rapid development of artificial intelligence (AI) has transformed various aspects of modern life across the world, but its intersection with Africa's indigenous knowledge systems (IKS) remains understudied. This paper aims to investigate the potential benefits and challenges of integrating Artificial Intelligence with IKS, with a focus on sustainable development within Africa. It is anticipated that the exploration of the application of Artificial intelligence (AI) in the pursuit and support of the preservation, transmission, and application of indigenous knowledge, while also examining the risks of cultural appropriation and the erosion of traditional knowledge systems will boost sustainability. The paper draws on case studies from diverse indigenous communities worldwide, applying their findings to Africa's peculiar nature, highlighting successful examples of Artificial Intelligence (AI) cum Indigenous Knowledge System (IKS) collaboration in areas such as environmental conservation, healthcare, and education. The researcher argued that a culturally sensitive and inclusive approach to AI development can help to empower indigenous communities, promote sustainable development, and preserve the richness of indigenous knowledge systems within the African continent.