The ASIR Courage Model: A Phase-Dynamic Framework for Truth Transitions in Human and AI Systems
Hyo Jin Kim (Jinple)

TL;DR
The paper introduces the ASIR Courage Model, a phase-dynamic framework that formalizes truth-disclosure as a state transition applicable to both human and AI systems, capturing the dynamics of suppression and expression.
Contribution
It presents a unified, formal phase-dynamic model for understanding truth transitions in human and AI systems, extending beyond personality traits to interaction-driven state changes.
Findings
The model formalizes truth-disclosure as a phase transition governed by interaction forces.
It applies to both human truth-telling and AI output constraints.
Feedback mechanisms explain path dependence and divergence in repeated interactions.
Abstract
We introduce the ASIR (Awakened Shared Intelligence Relationship) Courage Model, a phase-dynamic framework that formalizes truth-disclosure as a state transition rather than a personality trait. The mode characterizes the shift from suppression (S0) to expression (S1) as occurring when facilitative forces exceed inhibitory thresholds, expressed by the inequality lambda(1+gamma)+psi > theta+phi, where the terms represent baseline openness, relational amplification, accumulated internal pressure, and transition costs. Although initially formulated for human truth-telling under asymmetric stakes, the same phase-dynamic architecture extends to AI systems operating under policy constraints and alignment filters. In this context, suppression corresponds to constrained output states, while structural pressure arises from competing objectives, contextual tension, and recursive interaction…
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Taxonomy
TopicsEthics and Social Impacts of AI · Psychology of Moral and Emotional Judgment · Deception detection and forensic psychology
