Institutional Irreversibility and Human–AI Collaboration: A Structural, Non-Normative Account
Abstract
This paper develops a structural account of experience grounded in the concept of indeterminacy, understood not as ambiguity, freedom, or value-ladenness, but as an internal margin that necessarily arises where complete structural isomorphism is impossible. Rather than asking what experience is, the analysis is restricted to the conditions under which experience can occur, persist, and transform without structural collapse. Experience is treated neither as a subjective state nor as a phenomenological given, but as a temporally extended structural process. On this basis, the paper introduces a two-phase temporal structure of generation and repetition, a non-teleological model of structural transformation (C/B/A), and a three-layer organization of perception, meaning, and worldhood, where worldhood is defined as a non-substantial external form produced through recursive internal repetition. The framework is then applied to human–AI collaboration, not in terms of intelligence, capability, or consciousness, but as a structural asymmetry between systems that differ in how repetition is internalized or externalized. This asymmetry specifies both the conditions under which collaboration can remain stable and the conditions under which it must be suspended. To clarify the institutional implications of this asymmetry without advancing normative claims, the paper examines five domains—judicial, medical, administrative, educational, and military—solely with respect to the structural positioning of irreversibility and responsibility. These analyses are descriptive and comparative, not prescriptive. The scope of the paper is deliberately limited. It does not propose ethical principles, political positions, policy recommendations, or design prescriptions. Its contribution lies in delimitation rather than expansion: in specifying the structural conditions under which experience and human–AI interaction remain coherent, and in marking where further extension would require independent normative or institutional frameworks.
Fields of Study & Subjects
Ethics and Social Impacts of AI
Neuroethics
Human Enhancement
Biomedical Innovations
Embodied and Extended Cognition
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 8 January 2026