Operational Ethics Under Non-Violation: Retention as a Governance Condition for Long-Horizon Systems

This work presents a governance-first ethical framework for studying persistence and collapse in artificial and physical systems under conditions of minimal intervention. Rather than addressing intelligence, agency, or semantic interpretation, the framework formalizes retention as an operational property observable only after the withdrawal of external driving forces. The methodology integrates non-violation as experimental infrastructure, defining axioms, observation constraints, collapse criteria, and reproducibility conditions for long-horizon systems. Ethical restraint is treated not as a normative overlay, but as a prerequisite for epistemic validity when studying post-driven regimes. The framework is complementary to existing scientific models and is intended for applications in long-term system governance, AI oversight, and the study of persistence-dominated physical regimes.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-08
DOI
https://doi.org/10.5281/zenodo.18181239
Primary Topic
Ethics and Social Impacts of AI
Type
article
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article

Operational Ethics Under Non-Violation: Retention as a Governance Condition for Long-Horizon Systems

Logacheva Yulia
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

Operational Ethics Under Non-Violation: Retention as a Governance Condition for Long-Horizon Systems

Logacheva Yulia
article en

Abstract

This work presents a governance-first ethical framework for studying persistence and collapse in artificial and physical systems under conditions of minimal intervention. Rather than addressing intelligence, agency, or semantic interpretation, the framework formalizes retention as an operational property observable only after the withdrawal of external driving forces. The methodology integrates non-violation as experimental infrastructure, defining axioms, observation constraints, collapse criteria, and reproducibility conditions for long-horizon systems. Ethical restraint is treated not as a normative overlay, but as a prerequisite for epistemic validity when studying post-driven regimes. The framework is complementary to existing scientific models and is intended for applications in long-term system governance, AI oversight, and the study of persistence-dominated physical regimes.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
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Ethics and Social Impacts of AI
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