#audit-trail News & Analysis

4 articles tagged with #audit-trail. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

4 articles

AINeutralarXiv – CS AI · Jun 96/10

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Deterministic Integrity Gates for LLM-Assisted Clinical Manuscript Preparation: An Auditable Biomedical Informatics Architecture

Researchers present MedSci Skills, an open-source toolkit that pairs LLM-assisted clinical manuscript generation with deterministic verification gates to detect fabricated citations, numerical errors, and missing reporting guidelines. The system demonstrates 100% detection of seeded defects versus 41% for generic LLM reviewers, providing an auditable trail for biomedical publishing.

AINeutralarXiv – CS AI · Apr 76/10

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AI Governance Control Stack for Operational Stability: Achieving Hardened Governance in AI Systems

Researchers propose a six-layer AI Governance Control Stack for Operational Stability to ensure traceable and resilient AI system behavior in high-stakes environments. The framework integrates version control, verification, explainability logging, monitoring, drift detection, and escalation mechanisms while aligning with emerging regulatory frameworks like the EU AI Act and NIST standards.

AINeutralarXiv – CS AI · Apr 74/10

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Affording Process Auditability with QualAnalyzer: An Atomistic LLM Analysis Tool for Qualitative Research

Researchers have developed QualAnalyzer, an open-source Chrome extension that makes AI-assisted qualitative research more transparent by preserving detailed audit trails of LLM analysis processes. The tool processes data segments independently and maintains records of prompts, inputs, and outputs to enable systematic comparison between AI and human judgments.

AINeutralarXiv – CS AI · Mar 34/105

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SSKG Hub: An Expert-Guided Platform for LLM-Empowered Sustainability Standards Knowledge Graphs

Researchers have developed SSKG Hub, an AI-powered platform that transforms complex sustainability disclosure standards into structured knowledge graphs using large language models and expert validation. The system features automated extraction, expert review processes, and role-based governance to create auditable, provenance-linked knowledge graphs for sustainability standards analysis.