TRACE is a metrologically-grounded four-layer engineering framework for trustworthy agentic AI that enforces an ML-LLM split, stateful policies, human supervision, and a parsimony metric across critical domains.
A metrological framework for uncertainty evaluation in machine learning classification models.Metrologia, 62(6):064001
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TRACE: A Metrologically-Grounded Engineering Framework for Trustworthy Agentic AI Systems in Operationally Critical Domains
TRACE is a metrologically-grounded four-layer engineering framework for trustworthy agentic AI that enforces an ML-LLM split, stateful policies, human supervision, and a parsimony metric across critical domains.