Decoding Global AI Governance: A Computational Linguistic Analysis of National Regulations

Abstract

Artificial Intelligence (AI) regulations addressing rights, usage limits, bias, and accountability mechanisms have been adopted by governments worldwide. My research examines global AI governance through a comparative analysis of regulatory documents from over 60 countries. Using mixed methods, including advanced computational linguistics techniques to support qualitative analysis, this work evaluate changes in AI regulation over time and similarities in policy priorities. Our findings reveal significant alignment with EU regulations, highlighting its influence on global governance, and indicate regulatory capture by industry in the Americas and decolonial dissent in Africa. This research contributes to the multi-modal understanding of AI governance, offers practical policy recommendations, and outlines future research directions, including ongoing data collection and exploration of public dialogue's impact on regulatory frameworks.