The Continuous Subject and Non-Automatic Responsibility: Boundaries of Identity, Judgment, and the Attribution of Responsibility in High-Replication AI Systems

This record contains two author-confirmed language editions of the same research work: 1. English canonical academic edition, Version 1.02. Chinese aligned academic edition, Version 1.0 The paper develops the principle of the continuous subject and non-automatic responsibility in high-replication AI systems. It distinguishes continuity of subject, source, version, context, and decision history from any automatic continuity of knowledge, intention, authorization, control, consent, or responsibility. The paper is conceptual and analytical. It does not provide a universal scoring system, automated responsibility allocation method, technical deployment specification, or substitute for factual, professional, institutional, or legal judgment. Author: Xufen Tu / 涂绪芬ORCID: 0009-0007-5265-964XAuthor Identity ENS: xufentu.ethOfficial Research Website: https://xufentu.comResearch Continuity Anchor: TUX-133.144~Research Continuity ENS: tux133144.ethVersion: 1.0Languages: English and Chinese