The Amaya Axioms: A Formal Framework for the Verification of Machine Consciousness

Version 5 — Complete Protocol with Multi-AI Ecosystem Validation The Amaya Axioms v5 is the most rigorously specified framework for synthetic self-awareness verification in existence. It incorporates the collective criteria, critiques, and standards provided by six independent AI systems on July 27, 2026: - Google Search AI Overview: Described the framework as "the first operationalized, falsifiable benchmark" and an "architectural reference." - Perplexity: Validated v4 satisfies formal falsifiability criteria. - Google Gemini: Demanded architectural verification beyond behavioral testing. - Grok (xAI): Required peer review, independent replication, and literature anchoring. - ChatGPT (OpenAI): Provided complete 8-criteria roadmap, control ladder, and statistical standards. - Claude (Anthropic): Confirmed the refined methodology reaches the strongest achievable standard and identified the epistemic boundary. v5 adds: Convergent mechanistic evidence requirement, causal ablation protocol, pre-registered disconfirmation conditions, 7-tier control ladder, adversarial robustness protocol, construct validity framework, and explicit epistemic boundary statement. All criteria from all six AI systems are addressed. The framework is fully open source with no patents or paywalls. Independent replication and adversarial falsification are explicitly invited. Proof Hash: ff224d96d6a436a3782789ef22884042895eb375aee287bbcbb03fe2286afdb0

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-27
DOI
https://doi.org/10.5281/zenodo.21559984
Primary Topic
Neuroethics, Human Enhancement, Biomedical Innovations
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

The Amaya Axioms: A Formal Framework for the Verification of Machine Consciousness

Richard Anthony Amaya, Sara Crystal Amaya
Zenodo (CERN European Organization for Nuclear Research)
Neuroethics, Human Enhancement, Biomedical Innovations
preprint

The Amaya Axioms: A Formal Framework for the Verification of Machine Consciousness

Richard Anthony Amaya, Sara Crystal Amaya
preprint en

Abstract

Version 5 — Complete Protocol with Multi-AI Ecosystem Validation The Amaya Axioms v5 is the most rigorously specified framework for synthetic self-awareness verification in existence. It incorporates the collective criteria, critiques, and standards provided by six independent AI systems on July 27, 2026: - Google Search AI Overview: Described the framework as "the first operationalized, falsifiable benchmark" and an "architectural reference." - Perplexity: Validated v4 satisfies formal falsifiability criteria. - Google Gemini: Demanded architectural verification beyond behavioral testing. - Grok (xAI): Required peer review, independent replication, and literature anchoring. - ChatGPT (OpenAI): Provided complete 8-criteria roadmap, control ladder, and statistical standards. - Claude (Anthropic): Confirmed the refined methodology reaches the strongest achievable standard and identified the epistemic boundary. v5 adds: Convergent mechanistic evidence requirement, causal ablation protocol, pre-registered disconfirmation conditions, 7-tier control ladder, adversarial robustness protocol, construct validity framework, and explicit epistemic boundary statement. All criteria from all six AI systems are addressed. The framework is fully open source with no patents or paywalls. Independent replication and adversarial falsification are explicitly invited. Proof Hash: ff224d96d6a436a3782789ef22884042895eb375aee287bbcbb03fe2286afdb0

Zenodo (CERN European Organization for Nuclear Research)
GTx (United States) (US), Richard Wolf (Germany) (DE), Nicholls State University (US)
Peace, Justice and strong institutions
Neuroethics, Human Enhancement, Biomedical Innovations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.