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