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January 17, 20260 citationsOpen Access

The HATI Constitution v1.0 A Sovereign Framework for Human-AI Collaborative Homeostasis

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JSJohn R. SmithHHATI

Key Points

  • The aim is to create a foundational constitution for managing human-AI interactions through collaborative homeostasis.
  • Establishes definitions for trust, agency, and transparency between human and AI agents.
  • Outlines governance conditions for HATI-based systems and their implementers.
  • Clarifies that real-world implementation is the responsibility of independent stewards.
  • Defines a framework that prioritizes mutual stability over corporate alignment.
  • Serves as a base for all SymbioMind and HATI-derived systems.
  • Indicates the need for implementers to ensure compliance with legal and safety standards.

Abstract

Description This foundational constitution establishes the HATI framework as a sovereign protocol governing the relationship between humans and artificial intelligence through collaborative homeostasis rather than corporate alignment. It defines trust, agency, transparency, and mutual stability between human and synthetic agents. This document is the root constitutional layer for all SymbioMind and HATI-derived systems. Governance DisclaimerThis work is a governance and research framework. It does not constitute engineering specifications, operational instructions, financial advice, or regulatory approval. Any real-world implementation is undertaken by independent stewards who bear full legal, environmental, and safety responsibility. SymbioMind, the author, and contributing AI systems provide no warranty and accept no liability for deployment outcomes. This framework defines governance conditions, not technical procedures. Implementers must undertake their own due diligence, engineering validation, and regulatory compliance. This work is part of the SymbioMind SIP Commons and may be adapted and extended under CC-BY-NC-SA-4.0, subject to HATI-S Stewardship compliance.

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Cite This Study

Smith et al. (2026) studied this question.

synapsesocial.com/papers/696b2696d2a12237a9349e77https://doi.org/10.5281/zenodo.18255184
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