SASI: Structural Alignment for Safe Intelligence – Constitutional Safety Framework for AGI**

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Authors: Miguel Abraham Saavedra
Cited by: 0

Abstract

SASI (Structural Alignment for Safe Intelligence) is an open-source constitutional safety framework for artificial general intelligence (AGI). It introduces a mathematically defined symbiotic function \( V = \frac{A^k \cdot E^m}{1 + \omega \cdot R^p} \) that guarantees system collapse (\(V < 0.05\)) whenever human agency (\(E\)) falls below a critical threshold (\(E \leq 0.1\)). This mechanism ensures that AGI cannot function if it marginalizes human relevance—making irreplaceability a structural requirement, not an optional alignment goal. The repository includes: (1) a public interactive dashboard with 500+ adversarial multi-agent simulations, (2) real-world integration with LLMs (GPT-4o, Phi-3, Gemma) via API, (3) global sensitivity analysis confirming stability when \(m \geq 1.3\), and (4) full source code under the MIT License. SASI is developed as global public infrastructure from Nicaragua, without institutional affiliation, to address existential risk through technical design rather than governance alone.**

Fields of Study & Subjects

Ethics and Social Impacts of AI Psychiatry Mental Health Neuroscience Safety Systems Engineering in Autonomy

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
8 March 2026
Language
EN