•  12
    AI safety, risk, and governance are becoming global agenda items, but the intensification of governance activity does not automatically clarify the object of risk. When different fields say that they seek to protect “humanity,” they implicitly point to preferences, lives, social order, or species continuity—concepts that are not mutually compatible. As a result, risk identification continually slides across dimensions. This paper is an exercise in conceptual engineering concerning the risk-beari…Read more
  •  7
    This paper is a work of conceptual engineering on the risk-bearing subject of AI-related existential risk to humanity. It also has significance for social epistemology, philosophy of technology, and AI risk governance. Existing discussions usually understand “humanity” as the biological species *Homo sapiens*, and accordingly define the risk in terms of species extinction, permanent incapacitation, or future deprivation. This paper preserves the baseline status of that framework, but proposes a …Read more
  •  37
    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