Contestable Agents for Data Governance: Recording Human Stewardship of AI-Generated Metadata Across Structured and Unstructured Systems

Humza Akhtar, Brian Freeman · 2026 · arXiv

DOI: 10.48550/arXiv.2610.31553 · open-access PDF

Arabic

تتمتع المنظمات الصناعية بالمعرفة التشغيلية في الملفات الهيكلية، مثل التلفزيون، القائمة الأساسية، والاتفاقيات، وفي مصادر غير الهيكلية، مثل النصائح، ملاحظات الخدمة، الاتصالات، والرسائل التحقيقات. غالبًا ما تتعامل برامج الإدارة مع هذه المصادر بشكل منفصل. يعتمد التصنيف والترابط والتسجيل على مجموعة صغيرة من الموظفين الذين لديهم المعرفة العميقة في المجال.

Machine translation (Meta M2M100); the English original follows.

Abstract

Industrial organizations hold operational knowledge in structured records, such as telemetry, point lists, and transactions, and in unstructured sources, such as manuals, service notes, communications, and inspection reports. Governance programs often manage these sources separately. Classifying, linking, and documenting them depends on a small group of employees with deep domain knowledge. Agents built on large language models can propose metadata, cite documents, and flag quality issues, but unreviewed proposals can spread errors into downstream systems. A perfunctory approval leaves no reco

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