A Systems-Theory Approach to AI Alignment and Human Agency
This essay argues that sustainable systems require a stable, low-entropy foundation or "kernel" before meaningful complexity can emerge. Drawing parallels across physics, biology, psychology, and artificial intelligence, it proposes an Axiomatic Model (AXM) in which AI alignment, personal resilience, and social cohesion all depend on externally defined foundational principles rather than emergent behavior alone. The article frames AI ethics as an architectural challenge rooted in system design,...
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