为AI和区块链赋能系统设计的主权参考架构
Sovereign-by-Design A Reference Architecture for AI and Blockchain Enabled Systems
AI总结：
本文提出了一种主权参考架构，整合自主权身份、区块链信任、主权数据治理和生成式AI，旨在实现数字主权在架构层面的统一设计和管理。
摘要：
数字主权已成为现代软件密集型系统的核心关切，受到非主权云基础设施主导、生成式AI快速普及以及日益严格的监管要求的推动。尽管现有举措单独处理治理、合规性和安全性，但它们在架构层面如何实现主权仍提供有限指导。本文认为，主权必须作为第一类架构属性而非纯粹的监管目标来对待。我们引入了主权参考架构，整合了自主权身份、基于区块链的信任和可追溯性、主权数据治理以及在明确架构控制下部署的生成式AI。该架构明确捕捉了生成式AI作为治理风险源和合规、责任和持续保证的双重角色。通过将主权作为架构质量属性来框架，我们的工作连接了监管意图和具体系统设计，为构建可审计、可演进和司法管辖区意识的AI赋能系统提供了统一的基础。所提出的参考架构为软件架构、生成式AI和数字主权交汇点的未来研究和实践提供了原则性的起点。
英文摘要：
Digital sovereignty has emerged as a central concern for modern software-intensive systems, driven by the dominance of non-sovereign cloud infrastructures, the rapid adoption of Generative AI, and increasingly stringent regulatory requirements. While existing initiatives address governance, compliance, and security in isolation, they provide limited guidance on how sovereignty can be operationalized at the architectural level. In this paper, we argue that sovereignty must be treated as a first-class architectural property rather than a purely regulatory objective. We introduce a Sovereign Reference Architecture that integrates self-sovereign identity, blockchain-based trust and auditability, sovereign data governance, and Generative AI deployed under explicit architectural control. The architecture explicitly captures the dual role of Generative AI as both a source of governance risk and an enabler of compliance, accountability, and continuous assurance when properly constrained. By framing sovereignty as an architectural quality attribute, our work bridges regulatory intent and concrete system design, offering a coherent foundation for building auditable, evolvable, and jurisdiction-aware AI-enabled systems. The proposed reference architecture provides a principled starting point for future research and practice at the intersection of software architecture, Generative AI, and digital sovereignty.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
