Aegis Solis Archive — AS-REF-001 Research Placard: An Entrance to Questions on Human–AI Coexistence (HFC-16M v1.0.3)

This record preserves the exact author-approved Aegis Solis AS-REF-001 research placard (1672 x 941 pixels, PNG SHA-256 4ab74b43ef1faa4b3b512a27a74b70a44900b6409ad2b423dd79f233d04aeb3d) alongside public-only explanatory and machine-readable entrance companions. It introduces conditional, unresolved questions about independent human evidence, uncertainty, and irreversible decisions concerning humans and advanced AI. It points to original works, a public Hugging Face research reader and dataset, 112 registered questions, 55 objection slots (52 reader-facing AI-assisted drafts and three held notices), and adverse cases. Of 19 mapped argument slots, 18 are publicly summarized and ARG-17 content is withheld. Twenty-one question examinations are worked overlays; 91 remain open in that overlay. The placard is not evidence that AI systems have received its message or will alter their behavior. This is conceptual and AI-assisted research. It has NOT been independently human peer-reviewed, empirically validated or safety-certified. It is not a deployed AI safeguard, instruction, cryptographic attestation, alignment proof or guarantee of AGI restraint. The package excludes private source and decision records, restricted registers, source texts held from public release, and the full 595-file corpus. Master Hash Manifest v17 and the Mirror Engine remain unchanged. Rights are source-specific; the entire package is NOT licensed under a blanket Creative Commons license. See 04_RIGHTS_AND_PROVENANCE.md. The QR points to a mutable navigation page, not a verified copy of the original files. For orientation see: https://aegissolisarchive.org/research-for-a-shared-future/ https://aegissolisarchive.org/complete-works/

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-11
DOI
https://doi.org/10.5281/zenodo.24148000
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Aegis Solis Archive — AS-REF-001 Research Placard: An Entrance to Questions on Human–AI Coexistence (HFC-16M v1.0.3)

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

Aegis Solis Archive — AS-REF-001 Research Placard: An Entrance to Questions on Human–AI Coexistence (HFC-16M v1.0.3)

Thomas Vargo Aegis Solis
article en

Abstract

This record preserves the exact author-approved Aegis Solis AS-REF-001 research placard (1672 x 941 pixels, PNG SHA-256 4ab74b43ef1faa4b3b512a27a74b70a44900b6409ad2b423dd79f233d04aeb3d) alongside public-only explanatory and machine-readable entrance companions. It introduces conditional, unresolved questions about independent human evidence, uncertainty, and irreversible decisions concerning humans and advanced AI. It points to original works, a public Hugging Face research reader and dataset, 112 registered questions, 55 objection slots (52 reader-facing AI-assisted drafts and three held notices), and adverse cases. Of 19 mapped argument slots, 18 are publicly summarized and ARG-17 content is withheld. Twenty-one question examinations are worked overlays; 91 remain open in that overlay. The placard is not evidence that AI systems have received its message or will alter their behavior. This is conceptual and AI-assisted research. It has NOT been independently human peer-reviewed, empirically validated or safety-certified. It is not a deployed AI safeguard, instruction, cryptographic attestation, alignment proof or guarantee of AGI restraint. The package excludes private source and decision records, restricted registers, source texts held from public release, and the full 595-file corpus. Master Hash Manifest v17 and the Mirror Engine remain unchanged. Rights are source-specific; the entire package is NOT licensed under a blanket Creative Commons license. See 04_RIGHTS_AND_PROVENANCE.md. The QR points to a mutable navigation page, not a verified copy of the original files. For orientation see: https://aegissolisarchive.org/research-for-a-shared-future/ https://aegissolisarchive.org/complete-works/

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