arXiv: cs.AI preprintsInternational11 November 2026
An AI Assistant for Automating Anti-Corruption Expertise of Draft Legislation Based on the TRACE Framework
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arXiv:2611.14244v1 Announce Type: cross Abstract: 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 provisions an expert would criticise and name the regulatory defect in each. The pipeline combines a deterministic parsing core, model-guided single-provision qualification, rule-based factor assignment, and external human oversight. To evaluate the assistant, we constructed an open benchmark from the published conclusions of Ukraine's National Agency on Corruption Prev
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