The Human Executive Locus Model (HELM): A Constitutional Architecture for Exocortical Delegation

The central failure mode of exocortical systems is not insufficient machine capability, but executive displacement. As artificial systems become increasingly capable of interpreting, planning, routing, summarizing, and recommending on behalf of humans, the primary challenge is no longer computational power alone, but the preservation of human executive authority within delegated cognition.

The Human Executive Locus Model (HELM) proposes a constitutional architecture for human-AI interaction grounded in a simple premise: cognition may be delegated, but the origin of intention must remain human. Before delegation comes selection. A system should not determine what the user is; it should preserve the user’s ability to determine the terms under which cognitive delegation occurs.

This paper presents the Constitutional Decalogue of HELM as a foundational framework for exocortical delegation. It defines the Limes as the boundary at which determined execution ceases to be sufficient and unresolved purpose, value, judgment, meaning, or responsibility demand executive return. Within this architecture, Potentia names the computational capacity that may be delegated, while Potestas names the authority that must remain with the Human Executive Locus.

HELM rejects frictionless dependency and replaces it with Hormetic Friction: calibrated cognitive resistance designed to preserve capability, prevent executive decay, and periodically return the human to the boundary of delegation. It also introduces proportional executive visibility through AIsight, allowing externalized processes to be supervised, calibrated, interrupted, or revoked without collapsing human control under informational noise.

The machine may compute, optimize, simulate, and illuminate the terrain. The Human remains the author of purpose.