This paper examines how contemporary South Asian digital artists perceive, engage with, and resist generative artificial intelligence (AI) in creative practice. Drawing on thirty-six qualitative interviews conducted for the South Asian Digital Art Archive as part of the study approved by the University of British Columbia ethics board (Study ID: H25–00591) analyses artists’ reflections on authorship, ethics, posthumanism, data coloniality, and infrastructural inequality. Rather than presenting a unified stance, the interviews reveal heterogeneous, often ambivalent positions: some artists approach AI as a conditional collaborator, while others articulate a refusal grounded in ecological, political, or epistemic concerns. Using reflexive thematic analysis informed by postcolonial digital humanities scholarship, the paper identifies six overlapping conceptual clusters that situate AI within the lived conditions of uneven access, historical marginalization, and cultural specificity. The findings suggest that South Asian engagements with generative AI are shaped less by narratives of technological optimism or fear than by situated ethical practices that emphasize care, locality, and embodied forms of creativity. By foregrounding voices from the Global South, the paper contributes qualitative insight to global debates on AI and art and demonstrates the value of decolonial methodologies for studying emerging technologies.

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Digital Artists’ Perceptions of Generative AI in South Asia: Insights from the South Asian Digital Art Archive (SADA)

  • Najam-Ul Assar,
  • Megan Smith

摘要

This paper examines how contemporary South Asian digital artists perceive, engage with, and resist generative artificial intelligence (AI) in creative practice. Drawing on thirty-six qualitative interviews conducted for the South Asian Digital Art Archive as part of the study approved by the University of British Columbia ethics board (Study ID: H25–00591) analyses artists’ reflections on authorship, ethics, posthumanism, data coloniality, and infrastructural inequality. Rather than presenting a unified stance, the interviews reveal heterogeneous, often ambivalent positions: some artists approach AI as a conditional collaborator, while others articulate a refusal grounded in ecological, political, or epistemic concerns. Using reflexive thematic analysis informed by postcolonial digital humanities scholarship, the paper identifies six overlapping conceptual clusters that situate AI within the lived conditions of uneven access, historical marginalization, and cultural specificity. The findings suggest that South Asian engagements with generative AI are shaped less by narratives of technological optimism or fear than by situated ethical practices that emphasize care, locality, and embodied forms of creativity. By foregrounding voices from the Global South, the paper contributes qualitative insight to global debates on AI and art and demonstrates the value of decolonial methodologies for studying emerging technologies.