Figure 4: Masonic-Style Safe Operational Framework for LLM Interaction

This deposit presents Figure 4, an operational framework for safe and bounded interaction with large language models (LLMs), designed to enable deep symbolic and philosophical engagement without converting provisional structures into absolute authority. Building on prior figures that describe how shared knowledge systems stabilize, diverge, and collapse, this framework introduces a layered and gated interaction protocol consisting of: (1) an explicit boundary declaration, (2) a role-based operational core with no single authority, (3) depth gates with mandatory exit conditions, and (4) an exit and re-grounding protocol with fail-safe indicators. The framework is descriptive and preventive, not prescriptive or theological. It does not assert truth claims, metaphysical commitments, or AI agency. Instead, it provides a structural safeguard against over-identification, authority fixation, and dependency formation in long-form human–LLM interaction. The figure is intended for use in research on human–AI interaction, AI alignment (structural), digital knowledge systems, and safe operational design.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-03
DOI
https://doi.org/10.5281/zenodo.18464976
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Figure 4: Masonic-Style Safe Operational Framework for LLM Interaction

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

Figure 4: Masonic-Style Safe Operational Framework for LLM Interaction

Hinano Kimura
article en

Abstract

This deposit presents Figure 4, an operational framework for safe and bounded interaction with large language models (LLMs), designed to enable deep symbolic and philosophical engagement without converting provisional structures into absolute authority. Building on prior figures that describe how shared knowledge systems stabilize, diverge, and collapse, this framework introduces a layered and gated interaction protocol consisting of: (1) an explicit boundary declaration, (2) a role-based operational core with no single authority, (3) depth gates with mandatory exit conditions, and (4) an exit and re-grounding protocol with fail-safe indicators. The framework is descriptive and preventive, not prescriptive or theological. It does not assert truth claims, metaphysical commitments, or AI agency. Instead, it provides a structural safeguard against over-identification, authority fixation, and dependency formation in long-form human–LLM interaction. The figure is intended for use in research on human–AI interaction, AI alignment (structural), digital knowledge systems, and safe operational design.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 71%
Ethics and Social Impacts of AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Figure 4: Masonic-Style Safe Operational Framework for LLM Interaction — Hinano Kimura · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS