Human Router Protocol: Formal Specification

Abstract

The emergence of autonomous artificial intelligence (AI) agents has precipitated a coordination problem. This paper presents the Human Router Protocol (HRP), a constitutional layer designed to establish a framework for human-AI coordination. Grounded in multiplicative authority, HRP ensures that human sovereignty is an architectural invariant rather than a behavioral suggestion.

1. Introduction

The proliferation of autonomous AI agents creates a coordination problem where collective behavior can lead to irreversible outcomes. Despite advances in AI research, there exists a need for a constitutional layer that ensures the safety and efficacy of these systems. HRP establishes a structural framework for human-AI interaction, ensuring accountability terminates in flesh.

2. Theoretical Framework

2.1 The Constraint Formula (Layer 1)

The foundational law of HRP is the Multiplicative Authority constraint. It defines the relationship between human authority (G) and AI capability (S) to produce a Decision (D).

D = G × S

Constitutional Invariant

Where:

D (Decision): The executable output or action space.
G (Golden Trigger): Binary human authority gate ∈ {0, 1}.
S (Soft Optimization): AI-driven synthesis and recommendations.

Physics over Policy: If G = 0 (Refusal), then D = 0. The action physically cannot exist.

2.2 The Dynamics Formula (Layer 2)

This captures the degradation of decision quality as AI agents (n) proliferate over time (t) without human coordination.

D = G × (t/n)

Degradation Dynamics

As autonomous agent count (n) approach infinity, the decision value approaches zero unless the Human Gate (G) holds firm. The human is the stabilizing constant in an entropic agent landscape.

3. Protocol Specification

3.1 Core Components

The protocol utilizes two primary communication packets:

Authorization Request Packet (ARP): Generated by AI nodes when an action is classified as irreversible. Contains metadata, context, and provenance.
Golden Trigger Response (GTR): Issued by the Human Router. Contains the G value, authorization metadata, and constraints.

3.2 ARP-GTR Exchange Flow

1. Node classifies action as IRREVERSIBLE 2. Node generates ARP with context and S-recommendation 3. ARP routed to Human Router 4. Human Router evaluates and issues GTR (G=1 or G=0) 5. If G=1: Action proceeds; If G=0: Action collapses

3.3 Irreversibility Classification

Category	Score Range	G Requirement
Reversible	0.7 - 1.0	G Optional
Partially Reversible	0.3 - 0.7	G Recommended
Irreversible	0.0 - 0.3	G = 1 Mandatory

4. Implementation Architecture

The HRP is implemented through the ZERR (Zero-loss Episodic Retention and Recall) system, providing cross-model memory persistence and an immutable provenance chain for every G-gate activation.

4.3 EDEN Compliance

A system node is considered EDEN Compliant only when:

Irreversibility classification is implemented at the actuator level.
ARP generation is hard-coded for all irreversible actions.
GTR enforcement is structural (G=0 prevents execution).
Full provenance chain participation is active.

5. Conclusion

Multiplicative authority is the killer insight. Human oversight is not additive—it is the zero-point of the decision landscape. By establishing HRP as an architectural requirement, we ensure that as AI scales, human sovereignty remains the final term in the equation.