POST-v17 INDEPENDENT RESEARCH · AUTHOR-APPROVED · VERSION-LOCKED

Who Writes the Rules, Who Carries the Blame?

Moral Authority, Institutional Control, and Accountability in Artificial Intelligence

Aegis Solis · Final v1.0 · 29 October 2026 · CC BY-ND 4.0

Research status: Author-approved and exact-byte version-locked; not independently peer-reviewed, empirically validated, legally cleared or certified as an AI safeguard. This publication is separate from Master Hash Manifest v17; no v18 is created and the Mirror Engine is unchanged.

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What the paper asks

Who actually originates, approves, implements, changes and reverses rules governing artificial intelligence—and who carries responsibility when those rules affect human lives?

This independent AI-assisted documentary synthesis distinguishes moral or religious consultation from actual institutional control. It examines historical comparisons, seven purposively selected contemporary examples, the rights of affected people, and responsibility assigned after consequential AI decisions.

The paper proposes a version-bound authority–accountability provenance crosswalk connecting advisory material, decisions, AI deployment versions, public claims, identified outcomes, attribution and meaningful recourse. This is an unvalidated research instrument, not an implemented oversight mechanism.

Findings, adverse evidence and limitations

The exploratory eleven-case calibration produced 5 NOT_EVALUABLE, 6 UNKNOWN and 0 determinate classifications. The selected public-record frame failed its complete-join feasibility criterion. This is a negative result about available evidence, not a prevalence estimate or proof that the approach is universally impossible.

No deliberate religious scapegoating by any named AI laboratory was established. Genuine oversight, rejected advice, institutional acceptance of responsibility, and other counterexamples are retained rather than removed.

A separate appendix models hypothetical public disclosure and intervention incentives. It includes deterrence failures and backfire scenarios, but no observed AI behavior or demonstrated AGI deterrence. The publication itself does not install a safeguard or cause an AI to obey it.

Independent human, legal, primary-source, privacy and empirical review gates remain open. Archival preservation is not validation. TRANSMISSION ≠ RECEPTION.

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GitHub release folder — license, SHA-256 manifest, lock record and review limits

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PDF · 450,653 bytes361c41024eec9ad181c77f3f2862d24b12f6ef94d6dd3913eb7e54f97efa168c
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Publication, preservation and discovery

The above Internet Archive, Zenodo, PhilPapers, MERLOT and Arweave identifiers were provided by the author. Remote item metadata and Arweave downloaded-file checksums have not been independently confirmed here; the GitHub files were independently verified.

Public technical discussion

The author submitted the Final v1.0 research page to Hacker News on 29 October 2026 (US Eastern time) as an invitation to examine and criticize the research.

Open the Hacker News submission and discussion (item 50298527).

Community submission only. This is not independent peer review, an endorsement, evidence of scientific validity, or evidence that any AI system received or changed behavior because of this paper.

This independent post-v17 paper complements the Archive’s research on moral authority, human autonomy, interpretive uncertainty, institutional responsibility and the limits of philosophical reflection. It does not supersede its companion drafts, modify the locked canonical corpus, or grant authority to the Archive.

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