ZTEK: A Zero Trust Epistemic Kernel for AI-Assisted Research Workflows
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Zenodo
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| Natura: | Recurso digital |
| Lingua: | inglese |
| Pubblicazione: |
Zenodo
2026
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| _version_ | 1866901779219742720 |
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| author | Papanokechi, Papanokechi |
| author_facet | Papanokechi, Papanokechi |
| contents | <p>This paper introduces <strong>ZTEK: a Zero Trust Epistemic Kernel</strong>, the enforcement layer of the AI Epistemic Governance Stack. ZTEK provides an architectural boundary between AI‑generated output and the verified knowledge base, ensuring that no claim enters organizational workflows without reproducible provenance and independent verification. The protocol is grounded in five documented failure modes from a multi‑year AI‑assisted mathematical research program and is organized into five pillars: assume fabrication, require provenance, verify at the boundary, enforce least‑confidence assertion, and re‑verify on context change. The paper includes a decision gate, trust‑tier system, empirical validation, and implementation artifacts such as a provenance JSON schema, reproduce commands, and audit‑log examples.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19591564 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | ZTEK: A Zero Trust Epistemic Kernel for AI-Assisted Research Workflows Papanokechi, Papanokechi AI governance, epistemic reliability, verification, Zero Trust, provenance, research workflows, ZTEK, AEAL, <p>This paper introduces <strong>ZTEK: a Zero Trust Epistemic Kernel</strong>, the enforcement layer of the AI Epistemic Governance Stack. ZTEK provides an architectural boundary between AI‑generated output and the verified knowledge base, ensuring that no claim enters organizational workflows without reproducible provenance and independent verification. The protocol is grounded in five documented failure modes from a multi‑year AI‑assisted mathematical research program and is organized into five pillars: assume fabrication, require provenance, verify at the boundary, enforce least‑confidence assertion, and re‑verify on context change. The paper includes a decision gate, trust‑tier system, empirical validation, and implementation artifacts such as a provenance JSON schema, reproduce commands, and audit‑log examples.</p> |
| title | ZTEK: A Zero Trust Epistemic Kernel for AI-Assisted Research Workflows |
| topic | AI governance, epistemic reliability, verification, Zero Trust, provenance, research workflows, ZTEK, AEAL, |
| url | https://doi.org/10.5281/zenodo.19591564 |