AIS Governance Architecture
Abstract
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.
Fields of Study & Subjects
Ethics and Social Impacts of AI
Safety Systems Engineering in Autonomy
Explainable Artificial Intelligence (XAI)
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 30 January 2026
- Language
- EN