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Cultural Intelligence in AI Governance: Beyond Technical Auditing
Abstract
This article examines the critical need for cultural intelligence in artificial intelligence governance frameworks, particularly from the perspective of the Global South. While technical auditing has dominated AI governance discussions, this article argues for a fundamental shift toward culturally informed approaches that recognize diverse worldviews, value systems, and social structures. Drawing on experiences from developing nations and marginalized communities, the authors explore how current AI governance models perpetuate technological colonialism and propose alternative frameworks that center cultural competency, community participation, and contextual understanding. The article presents practical solutions for integrating cultural intelligence into AI development, deployment, and regulation, while highlighting future research directions that can bridge the gap between technical excellence and cultural responsiveness.
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