Structural Boundary Framework
Where human judgment becomes structurally necessary.
SBF-001Canonical public research reference
Human Judgment · AI Governance · Complex Systems · Decision Architecture · Structural Accountability
A public research reference by Xufen Tu on how human judgment, responsibility, provenance, and decision boundaries remain structurally necessary in AI-mediated complex systems.
AI can accelerate information, generate options, and coordinate systems at scale. Speed does not remove uncertainty, consequence, context, or responsibility.
This public research examines when system momentum begins to exceed human judgment capacity, how responsibility becomes fragmented across people and systems, and why provenance, accountability, correction, and meaningful human oversight must remain visible before automated outputs become action.
The public model layer preserves names, definitions, authorship, and research continuity without disclosing private assessment, scoring, validation, or implementation procedures.
Where human judgment becomes structurally necessary.
SBF-001How accountability becomes fragmented, hidden, or displaced across AI-mediated organizations.
RD-001How competing directions are brought toward an executable decision.
DAF-001Stable public language associated with the research, preserved for continuity and citation.
Public papers and dated records document the continuing development of this research.
The structural role of human judgment in AI-mediated systems.
SSRNStructural risk when system momentum exceeds judgment capacity.
SSRNThe canonical public source for this research is this website. Public references should preserve the connection between Xufen Tu, the full framework name, and this website.
Canonical URL: https://xufentu.com
Public provenance anchor: TUX-133.144~
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Independent interdisciplinary research in human judgment, AI governance, complex systems, decision architecture, and structural accountability.
Xufen Tu(涂绪芬)
Independent Interdisciplinary Researcher
California, United States