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Toward a Decolonized AI

In: The Bridgerton Paradox in Artificial Intelligence

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  • Somendra Narayan

    (University of Amsterdam)

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.

Suggested Citation

  • Somendra Narayan, 2025. "Toward a Decolonized AI," Springer Books, in: The Bridgerton Paradox in Artificial Intelligence, chapter 0, pages 77-85, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-99493-7_8
    DOI: 10.1007/978-3-031-99493-7_8
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