THE EVOLUTION OF AI REGULATIONS AND GOVERNANCE: A GLOBAL PERSPECTIVE WITH ALGORITHMIC INSIGHTS
Abstract
Rapid industry, economic, and cultural change brought about by artificial intelligence (AI) has made strong regulatory frameworks necessary to handle new moral, legal, and sociological issues. With an emphasis on significant turning points, legislative advancements, and institutional reactions, this article examines the development of AI laws and governance frameworks in various jurisdictions. We find trends, gaps, and opportunities for harmonising AI governance by comparing the regulatory approaches of the US, China, the EU, and other international actors. Additionally, we present risk assessment methods and algorithmic fairness criteria as instruments to promote accountable and transparent AI systems. Our results imply that although regulatory approaches differ greatly, there is increasing agreement regarding the significance of accountability, transparency, equity, and human supervision in AI systems. We conclude with recommendations for future research and policy development to ensure responsible and inclusive AI innovation.
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