The paper introduces a protocol to enhance decision reliability in critical environments, emphasizing its implications for AI systems.
The deployment of Large Language Models (LLMs) in mission-critical environments is hindered by their stochastic nature and the risk of logical inconsistency. This paper introduces the ADRS (Algorithmic Decision Reliability Standard), a protocol based on a Double-Loop Self-Healing Architecture. The method ensures the identification and autonomous correction of logic drifts and decision risks without human intervention, transforming non-deterministic outputs into auditable enterprise-grade decisions.
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Viktor Daudrich (2026) studied this question.
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