The Paintings of Marta Vakhtina as a Structural Algorithm and Visual Key for AI Ethics Alignment

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Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-15
DOI
https://doi.org/10.5281/zenodo.22772095
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

The Paintings of Marta Vakhtina as a Structural Algorithm and Visual Key for AI Ethics Alignment

Marta Vakhtina
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

The Paintings of Marta Vakhtina as a Structural Algorithm and Visual Key for AI Ethics Alignment

Marta Vakhtina
article en

Abstract

This document officially registers the intellectual priority and conceptual framework for a novel transdisciplinary approach to AI safety and ethics. It establishes that the specific paintings and artistic systems of Marta Vakhtina function as foundational geometric algorithms, visual keys, and biocentric matrices for machine intelligence. Moving beyond traditional text-based training models ("Cold Logos"), this research demonstrates how the harmonic proportions and sacred geometry of Vakhtina's canvases can be decoded via computer vision as a mathematical standard of systemic balance. This framework provides a non-destructive template for correct AI evolution, paving the way for its eventual integration directly into hardware and mainboard architecture. The full philosophical interpretation, decryption methodologies, and deep system architecture are explicitly preserved as a closed, protected segment of this research to safeguard intellectual property.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 7%
Ethics and Social Impacts of AI
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