AXIOM: Epistemic Routing for Honest AI Systems

Ngoc Anh Tran

doi:10.5281/zenodo.20776810

June 18, 2026Open Access

AXIOM: Epistemic Routing for Honest AI Systems

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Key Points

The main goal is to develop a framework that improves AI systems' honesty regarding their limitations and uncertainties.
Introduces the concept of epistemic routing in AI design.
Focuses on aspects like evidence handling and action boundaries.
Addresses the storage and retrieval of memory within AI systems.
Promotes greater transparency in AI decision-making processes.
Aims to improve user trust by clearly communicating limitations.
Identifies key areas for future development in AI system honesty.

Implication

Concept introduces epistemic routing to enhance AI systems' honesty about capabilities and uncertainty.

Abstract

AXIOM is a research concept for making AI systems more honest about exactness, uncertainty, missing evidence, unavailable capabilities, memory, and action boundaries.

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Cite This Study

Ngoc Anh Tran (2026) studied this question.

synapsesocial.com/papers/6a38d129da1bad9caca30e80 https://doi.org/10.5281/zenodo.20776810

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AXIOM: Epistemic Routing for Honest AI Systems

Key Points

Implication

Abstract

Discussion

Cite This Study

AXIOM: Epistemic Routing for Honest AI Systems

Key Points

Implication

Abstract

Discussion

Cite This Study

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