Harmonizing AI Oversight: The S.A.G.E. Model for Coherent International Regulation

Abstract

Artificial intelligence (AI) is revolutionizing societies, economies, and governance at a rate unprecedented in history. Yet, the global regulatory reaction is patchy, with jurisdictions like the EU, the U.S., China, and Canada implementing divergent models. This paper presents the S.A.G.E. framework, such as Safety and Security, Accountability and Ethics, Global Governance, Engagement, and Privacy, as an integrated version for unifying global AI governance. Through comparative analysis of key regulatory initiatives, which include the EU AI Act, U.S. NIST AI RMF, China's Interim Measures, and Canada’s AIDA, the paper identifies important gaps and alignment possibilities. It argues that S.A.G.E. gives a unified coverage structure able to foster coherence, ethical compliance, and cross-border interoperability. The framework emphasizes inclusive stakeholder participation, sturdy oversight, and adaptive governance to deal with AI’s evolving dangers. In this stop, this study introduces S.A.G.E. as a sensible roadmap for policymakers and regulators in moving in the direction of international consistency in responsible and honest AI improvement and deployment.