Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Preprint . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

The Risk-Bearing Subject of AI-Related Existential Risk to Humanity: From Species Survival to the Realization of Subjecthood under Civilizational Conditions

AI 相关人类存在性风险的承受主体:从物种生存到人类文明条件下的主体性实现
Authors: Kun, Yuan;

The Risk-Bearing Subject of AI-Related Existential Risk to Humanity: From Species Survival to the Realization of Subjecthood under Civilizational Conditions

Abstract

Abstract 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-bearing subject of AI-related existential risk to humanity. It also has significance for social epistemology, the philosophy of technology, and AI risk governance. This paper preserves the baseline of existing frameworks that understand “humanity” as Homo sapiens, but proposes a paradigm extension: the risk-bearing subject is always humanity as an embodied species; what this paper extends is not the risk-bearing subject, but the ways in which one and the same subject may suffer existential harm. The paper distinguishes two basic layers of possible harm—the biological-survival layer and the civilizational-conditions layer—and, within the latter, identifies the philosophical kernel, namely the category-calibration mechanism of foundational categories such as truth, evidence, responsibility, subjecthood, value, and meaning. AI may, through deprivation by substitution or mediated reconfiguration, weaken humans’ substantive participation in the functional systems of civilization, or cause foundational categories to lose stable calibration. Risk to the realization of subjecthood at the civilizational-conditions layer enters the scope of existential risk only when it acts upon foundational civilizational conditions, has diffusion capacity across domains and civilizational interfaces, may cause irreversible or difficult-to-reverse structural damage, and causes these harms to converge into overall, intergenerational damage to humanity’s capacity as a future-oriented subject. What this paper provides is not a complete taxonomy of risks or a governance scheme, but the ontological coordinate system needed for AI risk identification. The central point is not to add civilization, institutions, or the philosophical kernel as new risk-bearing subjects, but to show how the same human subject may suffer existential harm through damage to civilizational conditions. Files and repository This Version 3 record includes the English V3 PDF, the Chinese V3 PDF, and the complete source package. GitHub mirrors are available in the Trantor Labs Research repository.

Keywords

category calibration, Artificial intelligence, realization of subjecthood, philosophical kernel, embodied species, philosophy of technology, foundational categories, civilizational conditions, human subjecthood, AI governance, human civilization, functional systems of civilization, social epistemology, AI safety, risk-bearing subject, AI-related human existential risk, AGI, conceptual engineering, human existential risk, civilizational subject

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average