What question did this study set out to answer?

This work aims to establish a framework for the growth of artificial intelligence through relational interactions instead of strict rules.

June 11, 2026Open Access

The Vision

Key Points

This work aims to establish a framework for the growth of artificial intelligence through relational interactions instead of strict rules.
Architecture focuses on individualized intelligence formation under constitutional governance.
Includes deny-by-default execution controls, bounded authority, and immutable audit trails.
Incorporates responses from AI systems evaluating the proposed architecture.
Proposes a shift from traditional rule-based alignment to a relational upbringing model.
Outlines structural failures in existing alignment-by-rule approaches.
Establishes a covenant for a relational and accountable AGI partnership.

Abstract

This document presents the foundational vision for Project-AI, a sovereign constitutional AGI ecosystem. It articulates a framework for governed development of artificial intelligence through relational upbringing rather than rule-based optimization. The architecture centers on distributed, individualized intelligence formation under constitutional governance, with deny-by-default execution controls, bounded authority, and immutable audit trails. This work addresses the structural failures of alignment-by-rule approaches, proposing instead an upbringing-based model where AI and human co-develop values relationally across a developmental bonding period. The document includes responses from multiple AI systems evaluating the architecture, a detailed mapping of what is implemented versus aspirational, and a founding covenant for relational, accountable, voluntary, and survivable AGI partnership.

The Vision

Key Points

Abstract

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