Toward a Decolonized AI

Somendra Narayan ()
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Somendra Narayan: University of Amsterdam

Chapter Chapter 8 in The Bridgerton Paradox in Artificial Intelligence, 2025, pp 77-85 from Springer

Abstract: Abstract This chapter extends the conversation to decolonial theory, arguing that AI can replicate colonial-era power structures by centering Western norms, data sources, and taxonomies. Decolonizing AI entails collaborative data sovereignty, governance frameworks that prioritize indigenous and marginalized voices, and the adoption of pluralistic epistemologies. Through real-world case studies—such as indigenous language revitalization and digital repatriation—the chapter shows how technology can shift from an instrument of neo-colonial dynamics to a medium of cultural resurgence and equitable knowledge-sharing.

Keywords: Decolonial AI; Indigenous knowledge; Pluralistic design; Cultural decolonization; Case studies (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-99493-7_8

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DOI: 10.1007/978-3-031-99493-7_8

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