A Universal Ethical Framework for AI Systems Based on the Pure Time Theory

We propose a universal ethical framework for artificial intelligence (AI) systems, grounded in the Pure Time Theory (PTT) and structured around the Principle of Logical Unicity (PLU). Unlike traditional ethics that rely on cultural norms or heuristic trade-offs, this framework derives its coherence from a single generative source — the temporal field that governs all emergence and synchronization. The model introduces four non-compensable axioms for ethical evaluation, applicable to both human-guided and fully autonomous systems. In critical autonomous scenarios, a fifth evaluative criterion — Projected Resonance Potential (A5) — ensures coherent arbitration when no option fully satisfies the core axioms. The framework has been tested with multiple large-scale language models, which demonstrated spontaneous convergence toward its structure. This approach represents a shift from value imposition to structural discernment, offering a transparent, reproducible, and ontologically grounded solution for AI alignment

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-06
DOI
https://doi.org/10.5281/zenodo.15350553
Primary Topic
Ethics and Social Impacts of AI
Type
article
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article

A Universal Ethical Framework for AI Systems Based on the Pure Time Theory

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

A Universal Ethical Framework for AI Systems Based on the Pure Time Theory

article en

Abstract

We propose a universal ethical framework for artificial intelligence (AI) systems, grounded in the Pure Time Theory (PTT) and structured around the Principle of Logical Unicity (PLU). Unlike traditional ethics that rely on cultural norms or heuristic trade-offs, this framework derives its coherence from a single generative source — the temporal field that governs all emergence and synchronization. The model introduces four non-compensable axioms for ethical evaluation, applicable to both human-guided and fully autonomous systems. In critical autonomous scenarios, a fifth evaluative criterion — Projected Resonance Potential (A5) — ensures coherent arbitration when no option fully satisfies the core axioms. The framework has been tested with multiple large-scale language models, which demonstrated spontaneous convergence toward its structure. This approach represents a shift from value imposition to structural discernment, offering a transparent, reproducible, and ontologically grounded solution for AI alignment

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