Algorithmic Colonialism in Architecture: Decolonising AI for Pedagogy, Research, and Practice, Madhavi P. Patil & Ashraf M. Salama
Madhavi P. Patil and Ashraf M. Salama
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Algorithmic Colonialism in Architecture examines how artificial intelligence systems in architectural practice, research, and pedagogy inherit, formalize, and automate colonial epistemologies already embedded in the discipline’s historiography, data infrastructures, and professional norms. Drawing on postcolonial computing studies, decolonising architectural theory, data justice frameworks, and Indigenous data sovereignty principles, Madhavi P. Patil and Ashraf M. Salama provide critical analytical tools for educators, researchers, and practitioners navigating the rapid integration of AI into architectural workflows. The book moves beyond simplistic West/Rest binaries to address intersecting hegemonies, including platform dominance, regional hierarchies, and class-based encoding patterns, while centering Global South scholars and practitioners as active agents in shaping alternative futures. Through taxonomies of AI types, critical exercises, and practical frameworks, this volume equips readers to interrogate algorithmic bias, advocate for epistemic pluralism, and imagine architectures otherwise.
