ECOIN: Circulative Safety & Influence Measurement Protocol Small-Group to Civilizational Baseline

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Authors: Hinano Kimura
Cited by: 0

Abstract

This work introduces ECOIN, a non-invasive and non-manipulative protocol for observing whether interactions among individuals, groups, institutions, and AI systems evolve toward recoverable circulation or toward irreversible lock-in. Rather than prescribing behavior or optimizing outcomes, ECOIN provides state-based visibility into interaction dynamics, focusing on autonomy preservation, recovery capacity, and structural rigidity. The framework distinguishes between individual internal states and external interaction vectors, enabling the construction of observable safety indices without attributing intent, blame, or moral judgment. A two-layer disclosure model is proposed, separating publicly shareable safety indicators from NDA-protected mathematical specifications. The protocol scales from small-group experimental settings to civilizational baselines, offering a transparent, choice-preserving alternative to behavioral manipulation and control-oriented measurement systems. ECOIN is positioned as decision-support infrastructure, not governance or persuasion technology, with restoration of autonomy as its final objective.

Fields of Study & Subjects

Ethics and Social Impacts of AI Complex Systems and Dynamics Complex Systems and Decision Making

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 February 2026
Language
EN