Workflow-Level Stability Substitution in AI Governance

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Authors: 誠樹 星野
Cited by: 1
References: 5

Abstract

This OSF project archives DOI-linked observational records related to workflow-level stability substitution in AI-assisted operational processes. The project focuses on Operational SSE, template-to-template stabilization, hidden validation criteria, procedural compatibility, stopping conditions, responsibility allocation, and review-log preservation in AI-assisted workflows. The purpose of this project is not to evaluate specific individuals, organizations, platforms, or AI systems, but to preserve and organize observational materials related to AI operational design and structural control. Related records may also be available on Zenodo, Figshare, SSRN, and ORCID.

Fields of Study & Subjects

Scientific Computing and Data Management Business Process Modeling and Analysis AI-based Problem Solving and Planning

Publication details

Publication date
1 January 2026
Language
EN
Document type
Preprint