arXiv 建筑语义标准论文· Humza Akhtar·· 13 小时前次级推荐AI 评分75
「英中对照」arXiv论文提出AI元数据可争议治理方法，以HVAC用例演示
Contestable Agents for Data Governance: Recording Human Stewardship of AI-Generated Metadata Across Structured and Unstructured Systems
AI 导读
2026年10月22日提交的arXiv论文提出“可争议治理”方法：大语言模型代理为有争议的元数据决策生成带评分和引用的论据，人工监管员在提交前可接受、拒绝、修改或补充论据，治理记录留存证据、干预与结果。
推荐理由
该文把LLM代理引入建筑元数据治理，以Brick Schema点位分类等HVAC用例演示人工留痕审核流程，对楼控与数据治理团队的AI采用决策有参考价值；但目前仅为arXiv预印本的方法描述与示例，效果与落地情况未经独立验证，其开源参考实现可作为核验入口。
正文 · 原文
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 record of what a reviewer checked. We present contestable governance: specialist agents produce scored, cited arguments for disputed metadata decisions; a steward can accept, reject, modify, or add arguments before commit; and a governance record retains the evidence, interventions, and outcome. A versioned domain glossary supplies model-specific terms and acronym definitions to the agents. We describe the workflow, a triage path that reserves full argumentation for uncertain proposals while preserving review before commit, the scoring and record models, and a gate that controls which verified decisions become precedent. Two HVAC use cases illustrate the pattern: point classification using Brick Schema class labels, supported by an open reference implementation, and an illustrative warranty failure-mode decision linking claim fields and telemetry to service notes and revisioned bulletins.
| Comments: | 15 pages, 2 figures, 2 tables |
| Subjects: | Artificial Intelligence (cs.AI); Databases (cs.DB); Human-Computer Interaction (cs.HC); Multiagent Systems (cs.MA) |
| Cite as: | arXiv:2610.31553 [cs.AI] |
| (or arXiv:2610.31553v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2610.31553 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Brian Freeman [view email]
[v1]
Thu, 22 Oct 2026 16:57:01 UTC (439 KB)
来源：arXiv 建筑语义标准论文 · arxiv.org