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#artificial intelligence Preprint Sep 2026

Code-as-Auditor: Executable Compliance Reasoning via Regulation-to-Code

Experiments demonstrate that Code-as-Auditor delivers more accurate and evidence-backed evaluations, enabling automated compliance regulation checking grounded in explicit regulatory criteria and improves the logical consistency of the generated code and the traceability of outcomes.

Jisoo Kim, Taeyoon Kwack, Jin-Woo Jang et al. · 1 citation
#artificial intelligence Preprint Sep 2026

Visual Compliance via Executable Safety Rule Entailment

GuardEn (Guarding by Safety Rule Entailment), an executable safeguard framework that decomposes safety policies into atomic propositions through Safety-Rule Compilation, modeling their composition as executable code, is proposed.

Jisoo Kim, Taeyoon Kwack, Jin-Woo Jang et al. · 0 citations

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