The Regulatory Landscape of AI Governance An Analytical Examination

Abstract

This paper provides a comprehensive analysis of the evolving regulatory landscape surrounding Artificial Intelligence (AI) governance. It delves into the multifaceted characteristics of regulatory frameworks, the efficacy of various governance models, and the potential for international collaboration in harmonizing AI regulations. It also emphasizes that incorporating ethical standards, regulatory accountability, active stakeholder involvement, and flexibility in response to technology advancements are critical to successful AI governance. for that the study addresses fundamental inquiries such as the definition of AI governance, prevailing frameworks across diverse jurisdictions, methods for evaluating governance model effectiveness, and pathways for global harmonization