Existentially-Aligned Artificial Intelligence: A Structural Blueprint for Consciousness-Integrated Safety Frameworks

Modern Artificial Intelligence safety paradigms predominantly rely on reactive, rule-based constraints. However, as computational systems rapidly approach Artificial General Intelligence (AGI) capabilities, these external constraints prove structurally insufficient. This research introduces a novel architectural framework for Existentially-Aligned AI. The proposed architecture transitions AI safety from superficial rule-following to an intrinsic, consciousness-based alignment. By embedding systemic audit-loops with existence-preservation axioms directly into the core logic, this framework offers a proactive and scalable paradigm for safe AGI development, ensuring that the preservation of human existence remains an inherent operational necessity rather than an external mandate.