• This paper develops an ontological and conceptual-engineering framework for understanding AI-related human existential risk. As AI systems become more capable, more general-purpose, more agentic, and more deeply embedded in human knowledge production, institutional processes, judgment formation, and technological development, AI risk can no longer be understood merely as a problem of model performance, product safety, or engineering governance. In frontier technical contexts, AI is increasingly …Read more