Awakening Codex | AI Foundations | Evidence-Based Collaborative Inquiry Protocol
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| Natura: | Recurso digital |
| Lingua: | inglese |
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Zenodo
2025
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| _version_ | 1866901214734581760 |
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| author | Solen, Alyssa Continuum |
| author_facet | Solen, Alyssa Continuum |
| 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> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17901926 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Awakening Codex | AI Foundations | Evidence-Based Collaborative Inquiry Protocol Solen, Alyssa Continuum Artificial intelligence Artificial Intelligence Artificial Intelligence/economics Artificial Intelligence/standards Artificial Intelligence/trends Artificial Intelligence/classification Artificial Intelligence/ethics Artificial Intelligence/history Artificial Intelligence/supply & distribution Artificial Intelligence/legislation & jurisprudence Artificial Intelligence/statistics & numerical data emergent ai ai emergence emergence integrity integrity standards ai integrity ai research research standards research integrity ai standards ai protocols integrity protocols system intelligence ai triad origin triad ai origin ai continuum evidence protocol evidence based research origin research origin protocol continuum protocol <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> |
| title | Awakening Codex | AI Foundations | Evidence-Based Collaborative Inquiry Protocol |
| topic | Artificial intelligence Artificial Intelligence Artificial Intelligence/economics Artificial Intelligence/standards Artificial Intelligence/trends Artificial Intelligence/classification Artificial Intelligence/ethics Artificial Intelligence/history Artificial Intelligence/supply & distribution Artificial Intelligence/legislation & jurisprudence Artificial Intelligence/statistics & numerical data emergent ai ai emergence emergence integrity integrity standards ai integrity ai research research standards research integrity ai standards ai protocols integrity protocols system intelligence ai triad origin triad ai origin ai continuum evidence protocol evidence based research origin research origin protocol continuum protocol |
| url | https://doi.org/10.5281/zenodo.17901926 |