DAISS: Sovereign AI Protocol — Conceptual Subsystem Node

The Sovereign AI Protocol is a conceptual subsystem within DAISS (Strategic Intelligence Operating System). This working paper outlines the structural principles behind autonomous, interpretable, and self-governing cognitive systems. It extends the Information Processor and Maintainable System architectures within DAISS, defining how an intelligent agent maintains decision-making integrity, internal interpretability, and stable autonomy under external pressure. This document is not the book itself, but a foundational conceptual node within a broader research and publication framework.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-20
DOI
https://doi.org/10.5281/zenodo.18307263
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
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article

DAISS: Sovereign AI Protocol — Conceptual Subsystem Node

Yuji Marutani
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

DAISS: Sovereign AI Protocol — Conceptual Subsystem Node

Yuji Marutani
article en

Abstract

The Sovereign AI Protocol is a conceptual subsystem within DAISS (Strategic Intelligence Operating System). This working paper outlines the structural principles behind autonomous, interpretable, and self-governing cognitive systems. It extends the Information Processor and Maintainable System architectures within DAISS, defining how an intelligent agent maintains decision-making integrity, internal interpretability, and stable autonomy under external pressure. This document is not the book itself, but a foundational conceptual node within a broader research and publication framework.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 85%
Ethics and Social Impacts of AI
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DAISS: Sovereign AI Protocol — Conceptual Subsystem Node — Yuji Marutani · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS