arXiv cs.CY· Narayana Darapaneni, Padmaja K, Gnana Chaithra D·· 12 小时前AI 评分22
《生成式与智能体 AI 的数据治理：技术、法律、经济与安全》新书发布
Data Governance for Generative and Agentic AI : Technology, Law, Economics, and Security
AI 导读
一本面向生成式与智能体 AI 的统一治理框架专著发布，覆盖从大语言模型、RAG 管线到自主多智能体系统的数据全生命周期。全书共 11 章、8 个附录，整合技术、法律与经济三重视角，涵盖数据质量与溯源、全球数据保护法与知识产权、零信任架构、生成式与智能体 AI 管线治理、六法域 AI 监管及 2030 治理控制平面设计。各章以印度法律与制度为锚点，同时保持跨法域比较视角。
正文
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.CY · arxiv.org