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New research explores AI governance and crash data analysis

By PulseAugur Editorial · [2 sources] ·

Two new research papers explore the application of agentic AI and large language models in specialized domains. The first paper proposes a comprehensive governance framework for generative and agentic AI systems, integrating technology, law, and economics with a focus on Indian law and cross-jurisdictional perspectives. The second paper introduces CrashDB-QA, a local, schema-grounded agentic workflow designed to enable natural-language analysis of crash databases, demonstrating improved query accuracy with domain grounding and a 7B model. AI

IMPACT These papers highlight advancements in AI governance frameworks and practical applications of agentic AI for specialized data analysis tasks.

RANK_REASON Two arXiv papers detailing new research in AI governance and agentic workflows for data analysis.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New research explores AI governance and crash data analysis

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Two arXiv papers detailing new research in AI governance and agentic workflows for data analysis.
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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Narayana Darapaneni, Padmaja K, Gnana Chaithra D ·

    Data Governance for Generative and Agentic AI : Technology, Law, Economics, and Security

    arXiv:2610.33605v1 Announce Type: new Abstract: This book develops a unified governance framework for systems that retrieve, generate, infer, remember and act on information from large language models and retrieval augmented pipelines to autonomous multi agent systems. Eleven cha…

  2. arXiv cs.CL TIER_1 English(EN) · Jingwen Zhu, Keshu Wu, Steven T. Parker, Bin Ran, David A. Noyce ·

    From Questions to Queries to Insights: A Schema-Grounded Agentic Workflow for Natural-Language Crash Data Analysis

    arXiv:2610.35054v1 Announce Type: new Abstract: Transportation agencies maintain extensive crash databases to identify safety priorities, evaluate countermeasures, and guide resource allocation. Making these data accessible to practitioners requires flexible ways to translate ana…

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