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<p>Indigenous knowledge systems (IKS) embody centuries of cumulative experiential wisdom, deeply rooted in ecological, spiritual, and communal contexts. Despite their rich epistemological frameworks, IKS remain systematically marginalized within dominant technological and scientific paradigms. As artificial intelligence (AI) becomes integral to global systems of governance, development, and resource allocation, there is a pressing need to critically interrogate its epistemological underpinnings. This paper examines the tensions and possibilities at the intersection of IKS and AI, advocating for a decolonial, participatory, and ethically grounded approach to technological development. Drawing on interdisciplinary literature, indigenous-led initiatives, and critical AI ethics, it argues for reimagining AI not merely as a technological tool but as a sociotechnical construct shaped by diverse epistemologies. The integration of IKS can enhance AI’s capacity for contextual responsiveness, justice, and sustainability.</p>

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Artificial intelligence and epistemic justice: a decolonial turn through indigenous knowledge systems

  • 期刊论文

  • 发表日期：

    2026年2月17日

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  • Mayadhar Sethy

摘要

Indigenous knowledge systems (IKS) embody centuries of cumulative experiential wisdom, deeply rooted in ecological, spiritual, and communal contexts. Despite their rich epistemological frameworks, IKS remain systematically marginalized within dominant technological and scientific paradigms. As artificial intelligence (AI) becomes integral to global systems of governance, development, and resource allocation, there is a pressing need to critically interrogate its epistemological underpinnings. This paper examines the tensions and possibilities at the intersection of IKS and AI, advocating for a decolonial, participatory, and ethically grounded approach to technological development. Drawing on interdisciplinary literature, indigenous-led initiatives, and critical AI ethics, it argues for reimagining AI not merely as a technological tool but as a sociotechnical construct shaped by diverse epistemologies. The integration of IKS can enhance AI’s capacity for contextual responsiveness, justice, and sustainability.