What question did this study set out to answer?

The aim is to provide a conceptual framework for applying the Theory of Fundamental Belief (TCF/TBF) in artificial intelligence.

January 16, 2026Open Access

TCF / TBF — Conceptual Framework for Application in Artificial Intelligence (v0.1)

Key Points

The aim is to provide a conceptual framework for applying the Theory of Fundamental Belief (TCF/TBF) in artificial intelligence.
Developed a conceptual framework for AI contexts
Explored issues related to AI safety and governance
Examined alignment and ethical oversight in AI
Considered human–AI interaction and assistive systems
Revealed the importance of ethical oversight in AI
Highlighted potential areas for AI governance
Demonstrated the need for alignment between human values and AI systems

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.

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Christian Montgomery (Wed,) studied this question.

www.synapsesocial.com/papers/6969d4a2940543b977709893 — DOI: https://doi.org/10.5281/zenodo.18240147

TCF / TBF — Conceptual Framework for Application in Artificial Intelligence (v0.1)

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