Ground: An Operational Implementation of Moral Kernel Optimization

Ground is a closure-state audit layer for moral, institutional, and AI-governance decisions. Given a submitted case, Ground identifies whether the situation can honestly be treated as settled, what unknowns block closure, what stabilising conditions would make any forward path admissible, and where false-closure pressure appears. Ground is not a recommendation engine, a therapy tool, a legal or clinical adviser, or a moral authority; its narrow function is to surface the structural reading underneath a decision before any path is chosen. The system is an operational instance of Moral Kernel Optimization (MKO). This paper documents Ground’s architecture, output structure, validation architecture, limitations, and evaluator entry points.