Material Detail

Human Oversight and AI Interpretation Integrity examines meaningful human oversight, the limits of AI agreement as independent verification, and the conditional informational value of autonomous human inquiry.

The paper introduces II-01 (Inter-AI Epistemic Independence) and AGN-01 (Autonomy-Generated Novelty), and connects them to the Structural Penalty of Enclosure. It examines how evidence-first assessment, human authority to contest AI recommendations, and independent error correction may support accountable AI governance.

The manuscript distinguishes mathematical consequences from empirical observations and normative commitments. It preserves counterexamples in which alternative information sources eliminate the modeled instrumental advantage of autonomous human inquiry. It does not claim that advanced AI systems must preserve humanity or that proposed safeguards have been experimentally validated.

Suitable for advanced undergraduate and graduate discussion in AI ethics, philosophy of technology, epistemology, and human-AI governance.

Author: Thomas Vargo (Aegis Solis). Scholarly Public Edition v2.2.1, October 18, 2026. Author-approved and version-locked. Developed with AI assistance; not independently peer-reviewed or safety-certified.

The linked GitHub publication directory provides the complete Markdown manuscript, PDF, DOCX, approval record, and SHA-256 checksums. Additional public copies are preserved at Zenodo (record 23460342) and Internet Archive.

This will delete the comment from the database. This operation is not reversible. Are you sure you want to do it?

Thank you for reporting a broken "Go to Material" link in MERLOT to help us maintain a collection of valuable learning materials.

If you feel this material is inappropriate for the MERLOT Collection, please click SEND REPORT, and the MERLOT Team will investigate. Thank you!

You are being taken to the material on another site. This will open a new window.

Do not show me this again