What question did this study set out to answer?

The central aim is to establish a conceptual framework for integrating the TCF/TBF in AI contexts.

January 25, 2026Open Access

TCF / TBF — Conceptual Framework for Application in Artificial Intelligence (v0.5)

Key Points

The central aim is to establish a conceptual framework for integrating the TCF/TBF in AI contexts.
Developed a conceptual framework for TCF/TBF in AI applications.
Addressed AI safety and ethical oversight issues.
Incorporated an addendum on AI usage boundaries and legal clarifications.
Outlined critical areas for AI governance and alignment.
Identified principles for ethical oversight in human-AI interaction.
Highlighted the framework's strictly conceptual nature without implementation details.

Abstract

This record documents a conceptual framework for the application of the TCF / TBF (Theory of Fundamental Belief) in artificial intelligence contexts. The scope of this framework includes AI safety and governance, alignment and ethical oversight, human–AI interaction, and educational or assistive AI systems. This record is strictly conceptual. It does not provide algorithms, code, architectures, prompts, or implementation guidance. “This version adds an AI usage boundaries addendum and legal clarification.”

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Christian Montgomery

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TCF / TBF — Conceptual Framework for Application in Artificial Intelligence (v0.5)

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