A systematic review finds that integrating indigenous knowledge improves AI effectiveness in local contexts, highlighting the need for cultural sensitivity.
The rapid development of artificial intelligence (AI) has led to a growing interest in integrating indigenous knowledge systems into AI development. A comprehensive search strategy was employed to identify studies on integrating indigenous knowledge into AI systems in both regions. Studies were critically appraised using predefined inclusion criteria. The review identified a significant proportion (30%) of studies focusing on the development of culturally sensitive AI applications, particularly in healthcare and education sectors. Indigenous knowledge integration shows promise for enhancing AI effectiveness and acceptance in local contexts. Developers should prioritise cultural sensitivity training and community engagement as foundational steps towards successful AI deployment. Model estimation used θ̂=argminθ∑ᵢ(yᵢ,f_θ(xᵢ))+λθ₂², with performance evaluated using out-of-sample error.
No takes yet. Share an insight, caveat, or question.
Akway Biyu (2010) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: