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.
Md Ferdous Alam (Sun,) studied this question.
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