Integrating the Universal Law of Balance and Feedback Mechanisms into AGI Development

Abstract Artificial General Intelligence (AGI) promises transformative impacts but also poses significant challenges related to alignment, safety, and autonomous decision-making. This paper proposes a novel framework grounded in a universal formula that synthesizes fundamental natural laws—namely, the universal law of balance, systemic feedback loops, and a reconceptualization of free will. This formula provides a conceptual foundation to guide AGI development toward safe, ethical, and adaptive behavior. We detail the theoretical underpinnings, discuss applications for AGI architectures, and outline initial directions for implementation and experimentation.