This work introduces Alignment Integrity Systems (AIS), a governance architecture for human-centered, agentic AI, and defines the Ethical Coherence Governance (ECG) metric for assessing the stability of human authority over machine behavior across time. AIS reframes alignment not as a statistical property of models, but as a governance relationship between human meaning and machine capability. It integrates early drift sensing, intentional friction, containment boundaries, and explicit human sovereignty into a unified, recursive control architecture designed for safety-critical and regulated environments. The ECG metric functions as a coherence indicator—measuring whether optimization, speed, and system evolution are remaining compatible with human-defined ethical constraints. Rather than reacting after harm, AIS is designed to surface misalignment early and yield to human authority before irreversible outcomes occur. This artifact is presented as a conceptual and architectural contribution, intended to inform AI governance research, institutional oversight models, and emerging standards discussions. It does not describe a deployed system or provide implementation code.
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Juniper Pearson (Fri,) studied this question.
www.synapsesocial.com/papers/6980fe9bc1c9540dea810dfd — DOI: https://doi.org/10.5281/zenodo.18436511
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