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Decolonial AI Governance: What Can We Learn from India's Approach

Dr. Hladikova and Dr. Mehrotra's new research focuses on the differences between India's flexible, development-oriented approach and the regulatory-heavy models adopted by regions like the European Union. The findings contribute to the global discourse on AI governance by offering insights into alternative governance frameworks that reflect diverse socio-economic realities and cultural contexts.

The AI & Digital Governance Lab is pleased to highlight recent work by Dr. Siddharth Mehrotra and Dr. Sarah Hladikova. Their paper, combining perspectives from AI governance and Human-Computer Interaction through an interdisciplinary lens, was recently presented at the NIG '25 Annual Work Conference at Ghent University and at NWO ICT.OPEN's '25 Responsible Applied AI in Society and Education panel in Utrecht.

The study examines India's distinctive approach to AI governance, which prioritizes innovation and development through voluntary guidelines and public-private partnerships rather than strict regulatory frameworks. Through semi-structured interviews with key stakeholders and analysis of policy documents, the researchers investigate how India balances technological advancement with ethical considerations in AI deployment.

Employing a decolonial perspective, the research analyzes how emerging economies navigate ethical AI development while addressing structural inequities. The study compares India's flexible, development-oriented approach with the more comprehensive regulatory frameworks established by regions like the European Union. The findings contribute to the global discourse on AI ethics and governance by offering insights into alternative governance frameworks that reflect diverse socio-economic realities and cultural contexts.

This work represents a valuable contribution to understanding diverse AI governance frameworks and highlights international and interdisciplinary perspectives on digital governance challenges.

About this research

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