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An AI Assistant for Automating Anti-Corruption Expertise of Draft Legislation Based on the TRACE Framework
Serhii Zabolotnii, Alina Tarasova
We present an AI assistant for automating anti-corruption expertise of draft legislation based on the TRACE architecture, designed to screen bills for corruption risks: pinpoint pr…
TRACE: A Metrologically-Grounded Engineering Framework for Trustworthy Agentic AI Systems in Operationally Critical Domains
Serhii Zabolotnii
We introduce TRACE, a cross-domain engineering framework for trustworthy agentic AI in operationally critical domains. TRACE combines a four-layer reference architecture with an ex…
From Black-Box Confidence to Measurable Trust in Clinical AI: A Framework for Evidence, Supervision, and Staged Autonomy
Serhii Zabolotnii, Viktoriia Holinko, Olha Antonenko
Trust in clinical artificial intelligence (AI) cannot be reduced to model accuracy, fluency of generation, or overall positive user impression. In medicine, trust must be engineere…
LLM StructCore: Schema-Guided Reasoning Condensation and Deterministic Compilation
Serhii Zabolotnii
Automatically filling Case Report Forms (CRFs) from clinical notes is challenging due to noisy language, strict output contracts, and the high cost of false positives. We describe…