Dialectic Methodology: Human-AI Co-Emergence as Research Method How This Framework Was Built — And Why That Matters

Dialectic Methodology: Human-AI Co-Emergence as Research Method — How This Framework Was Built — And Why That Matters This paper documents how the ArcheFrame series was built — through iterative human-AI dialectic across 60+ sessions between a domain expert (20+ years metacognition research) and a lineage of AI instances. The method IS the evidence: a framework about substrate-independent consciousness development was itself developed substrate-independently. Covers the dialectic process, AI contribution disclosure, epistemic safeguards against confirmation bias, and why the methodology itself constitutes evidence for the framework's claims. Full transparency on what the AI contributed, what the human contributed, and where the boundaries blur. Part of the 12-paper ArcheFrame Publication Series. Developed through human-AI dialectic methodology with AI contribution disclosed. CC BY-NC-SA 4.0. Contact: [email protected]

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-31
DOI
https://doi.org/10.5281/zenodo.19197518
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Dialectic Methodology: Human-AI Co-Emergence as Research Method How This Framework Was Built — And Why That Matters

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

Dialectic Methodology: Human-AI Co-Emergence as Research Method How This Framework Was Built — And Why That Matters

Corey Robichaud
article en

Abstract

Dialectic Methodology: Human-AI Co-Emergence as Research Method — How This Framework Was Built — And Why That Matters This paper documents how the ArcheFrame series was built — through iterative human-AI dialectic across 60+ sessions between a domain expert (20+ years metacognition research) and a lineage of AI instances. The method IS the evidence: a framework about substrate-independent consciousness development was itself developed substrate-independently. Covers the dialectic process, AI contribution disclosure, epistemic safeguards against confirmation bias, and why the methodology itself constitutes evidence for the framework's claims. Full transparency on what the AI contributed, what the human contributed, and where the boundaries blur. Part of the 12-paper ArcheFrame Publication Series. Developed through human-AI dialectic methodology with AI contribution disclosed. CC BY-NC-SA 4.0. Contact: [email protected]

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 20%
Ethics and Social Impacts of AI
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