Acceleration Through Preservation - AI Safety Speeds Path to SIAGI
Year: 2025
Type: article
Abstract: This paper advances a different perspective: that embedding structural preservation principles, operationalized through the Relational-Agency Support-Partner Method (RASPM), may actually accelerate the safe realization of SIAGI. By integrating the 11 Principles of Preservation and Coexistence into training, oversight, and evaluation pipelines, RASPM creates a framework where safety and speed reinforce rather than oppose one another. This paper includes a qualitative, hypothesis-generating pilot study based on limited but illustrative human–AI interactions as a test of the framework’s feasibility. We argue that clear ethical scaffolding reduces engineering uncertainty, avoids misaligned detours, and fosters a positive recursive loop in which AI systems themselves contribute to the preservation-aligned training of more advanced models. Far from being a brake, preservation alignment may be the only route to sustainable acceleration. This initial evidence suggests that preservation alignment could become both a scientific accelerator and a governance standard for superintelligent AI. Author’s Note This article is intended as a conceptual position and methods-proposal with exploratory evidence, not a completed empirical study, and should be reviewed as such. It builds on the author’s earlier work, The 11 Principles of Preservation and Coexistence: A Framework for Humanity’s Continuity in the Age of Superintelligent Artificial General Intelligence (SIAGI), and lays the conceptual and methodological groundwork for a forthcoming engineering-focused paper that will present full experimental specifications, code, and evaluation artifacts.
Author: Meyerov, Daniel
Language: English
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7092197602
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