This framework outlines cognitive governance in human-AI systems, indicating implications for authority and safety.
LOCUS Architecture is an integrated cognitive framework designed to govern human-AI delegation. It addresses a structural risk that precedes alignment and safety: the silent erosion of human executive authority through frictionless cognitive offloading. This CORE document defines the fundamental operational distinctions of the architecture: the boundary between delegable computation (Potentia) and non-delegable executive authority (Potestas), the bifurcation of hallucination into statistical and teleological, and the implementation of Hormetic Friction as a structural constraint against algorithmic overprotection. It serves as the constitutional baseline for evaluating, auditing, and routing jurisdictional authority in exocortical systems.
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Rafael Fermin Hernandez (2026) studied this question.
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