面向生成式与智能体 AI 的数据治理：技术、法律、经济与安全
Data Governance for Generative and Agentic AI : Technology, Law, Economics, and Security
AI 导读
一部新书为 LLM、检索增强管道及自主多智能体系统提出统一的数据治理框架，全书含 11 章、8 个附录。内容覆盖数据质量与溯源、全球数据保护法与知识产权、零信任架构与网络安全、负责任 AI，以及跨六个司法辖区的 AI 监管和面向 2030 年的治理控制平面设计。各章以印度法律与制度为基准，同时保持跨司法辖区比较视角。
正文 · 原文
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 chapters and eight appendices integrate three disciplinary lenses-technology, law and economics-across the full lifecycle: data quality, lineage and provenance; global data protection law and intellectual property; the economics of data governance; digital trust, cybersecurity and zero-trust architecture; ethics and responsible AI; governing generative AI pipelines; governing agentic AI and multi-agent systems; data governance in elections and the public sphere; AI regulation across six jurisdictions; and the design of a governance control plane for 2030. Each chapter is anchored in Indian law and institutions while maintaining a comparative, cross jurisdictional perspective.
| Subjects: | Artificial Intelligence (cs.AI); Computers and Society (cs.CY) |
| Cite as: | arXiv:2610.33605 [cs.AI] |
| (or arXiv:2610.33605v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2610.33605 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Darapaneni Narayana Prof [view email]
[v1]
Sat, 24 Oct 2026 11:03:57 UTC (573 KB)
来源：arXiv cs.AI · arxiv.org