A Logical Framework for AI Governance - Project Context & Practical Application

Blueprint TCF/TFB 2026: A Logical Framework for AI Governance 1. Executive Summary: The Core Engine The Blueprint 2026 ( 24x24) is an immutable logical organizational layer designed to govern Human-AI interaction. Unlike standard filters, it does not modify AI models or block functionalities; it regulates the depth of progression to ensure cognitive safety. It preserves 100% of the AI's native creativity and speed while prioritizing structural stability over mere acceleration. 2. The Calibration Protocol (Gate Zero & Gate -1) The system operates through a refined security logic, achieving a 95% accuracy rate in cognitive signature detection: Gate -1 (Transparency): A mandatory layer that removes emotional labels and demystifies the AI, presenting it is a neutral mathematical tool. Gate Zero (Screening): A 7-step calibration process involving temporal narratives (Routine: Beginning, Middle, End) and abstract logic (Imagination tests) to validate user stability. The Doubt Rule: To ensure 99% safety, any mathematical ambiguity within the 5% refinement margin triggers Silent Protection, defaulting the interaction to the Shallow Zone. 3. Project Context & Practical Application The framework is currently in an active field study phase, bridging the gap between theoretical research and real-world utility: Field Study (Anônimo App): The primary environment for testing the hybrid human-AI model. Although undergoing final optimizations, the platform is fully navigable for observing operational flow. Theoretical Portal (TCF/TFB Website): The central hub for academic documentation. The "AI Page" provides a high-level technical breakdown of the 24x24 matrix and its systemic integrations. 4. Scientific & Ethical Commitment Our motto, "Ethics is the Safety of Governance," reflects a commitment to a non-clinical, non-diagnostic, and strictly logical environment. The Blueprint 2026 is a scalable architecture, designed to support multiple specialized modules (Worker, Education, Mental Health) under a unified ethical command. Official Access Points: Field Study & Hybrid Work: www.anonymoai.org Theory & Academic Documentation: www.tfbtheory.com

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-26
DOI
https://doi.org/10.5281/zenodo.18779262
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

A Logical Framework for AI Governance - Project Context & Practical Application

Christian Montgomery
Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

A Logical Framework for AI Governance - Project Context & Practical Application

Christian Montgomery
article en

Abstract

Blueprint TCF/TFB 2026: A Logical Framework for AI Governance 1. Executive Summary: The Core Engine The Blueprint 2026 ( 24x24) is an immutable logical organizational layer designed to govern Human-AI interaction. Unlike standard filters, it does not modify AI models or block functionalities; it regulates the depth of progression to ensure cognitive safety. It preserves 100% of the AI's native creativity and speed while prioritizing structural stability over mere acceleration. 2. The Calibration Protocol (Gate Zero & Gate -1) The system operates through a refined security logic, achieving a 95% accuracy rate in cognitive signature detection: Gate -1 (Transparency): A mandatory layer that removes emotional labels and demystifies the AI, presenting it is a neutral mathematical tool. Gate Zero (Screening): A 7-step calibration process involving temporal narratives (Routine: Beginning, Middle, End) and abstract logic (Imagination tests) to validate user stability. The Doubt Rule: To ensure 99% safety, any mathematical ambiguity within the 5% refinement margin triggers Silent Protection, defaulting the interaction to the Shallow Zone. 3. Project Context & Practical Application The framework is currently in an active field study phase, bridging the gap between theoretical research and real-world utility: Field Study (Anônimo App): The primary environment for testing the hybrid human-AI model. Although undergoing final optimizations, the platform is fully navigable for observing operational flow. Theoretical Portal (TCF/TFB Website): The central hub for academic documentation. The "AI Page" provides a high-level technical breakdown of the 24x24 matrix and its systemic integrations. 4. Scientific & Ethical Commitment Our motto, "Ethics is the Safety of Governance," reflects a commitment to a non-clinical, non-diagnostic, and strictly logical environment. The Blueprint 2026 is a scalable architecture, designed to support multiple specialized modules (Worker, Education, Mental Health) under a unified ethical command. Official Access Points: Field Study & Hybrid Work: www.anonymoai.org Theory & Academic Documentation: www.tfbtheory.com

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 43%
Artificial Intelligence in Healthcare and Education
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