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arXiv · 2504.14668

A Byzantine Fault Tolerance Approach towards AI Safety

John deVadoss·Matthias Artzt
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Abstract

Ensuring that an AI system behaves reliably and as intended, especially in the presence of unexpected faults or adversarial conditions, is a complex challenge. Inspired by the field of Byzantine Fault Tolerance (BFT) from distributed computing, we explore a fault tolerance architecture for AI safety. By drawing an analogy between unreliable, corrupt, misbehaving or malicious AI artifacts and Byzantine nodes in a distributed system, we propose an architecture that leverages consensus mechanisms to enhance AI safety and reliability.

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John deVadoss, Matthias Artzt. 2025-04-20. A Byzantine Fault Tolerance Approach towards AI Safety. https://doi.org/10.1109/icdlt66400.2025.11466516

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