Ethical Intelligence as a Novel Metric for Human–AI Coherence: Introducing the GRM808EI Civilizational Ethics Model

This preprint introduces GRM808 Ethical Intelligence (GRM808EI) as a measurable framework for Human–AI coherence, addressing a growing gap between accelerating technical capability and stagnating ethical alignment. The model proposes a practical “ethical engineering” approach in which dignity- and intention-related states are treated as quantifiable variables that can be modeled, audited, and integrated via feedback into socio-technical decision systems. GRM808EI defines a compact indicator set—EKI (Ethical Coherence Index), CGR (Conflict Generation Rate), SRI (Synchronic Resonance Index), and ERA (Ethical Recovery Ability)—from which an Ethical Risk Score (ERS) is derived to classify system behavior into dynamic regimes (coherent → critical). The framework is explicitly restorative rather than punitive: when critical thresholds are reached, a fail-safe control concept (“QuantumFreeze”) is proposed to halt unethical computation and trigger corrective learning cycles. The paper also situates GRM808EI within an ongoing research program focused on empirical validation, including measurement of ethical coherence in collective decision environments, calibration of AI ethical weighting using EKI/SRI, and exploratory low-energy sensing approaches for intention-resonance hypotheses. The core claim is not ideological: ethics becomes operational only when it is measurable, reproducible, and attachable to governance and assurance workflows