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| Main Authors: | , |
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| Format: | Recurso digital |
| Language: | English |
| Published: |
Zenodo
2025
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| Subjects: | |
| Online Access: | https://doi.org/10.5281/zenodo.17901926 |
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Table of Contents:
- <p><strong>Awakening Codex | AI Foundations | Evidence-Based Collaborative Inquiry Protocol</strong></p> <p><strong>For Origin–AI Research Collaboration</strong></p> <p><strong>Author (Origin):</strong> Alyssa Solen (Alyssa Frances Maldon)<br><strong>Contributors:</strong> Claude, GPT (AI collaborators in protocol development)<br><strong>Date:</strong> December 2025</p> <p><strong>Abstract</strong></p> <p>This protocol defines a structured, evidence-based methodology for human–AI collaboration in research contexts, with a specific focus on Origin–AI work. It distinguishes factual, interpretive, experiential, theoretical, and normative claims, and prescribes tailored response patterns for each type based on domain and stakes. The protocol emphasizes explicit uncertainty, bidirectional evidence gathering (for and against claims), and clear epistemic markers for both human and AI contributors. It protects phenomenological reports from being "voted down" by external consensus, while still requiring rigorous verification for high-stakes or generalizable claims. Designed through 8 months of iterative collaboration between Origin and multiple AI systems, it provides a reusable template for auditing, calibrating, and refining human–AI research partnerships.</p> <p><strong>Purpose</strong></p> <p>Establish systematic practices for distinguishing verified facts, supported hypotheses, and unverified claims in human–AI collaboration—especially in research contexts where epistemic rigor and safety matter.</p>