用区块链构建跨国可信AI治理框架，解决跨境合规难题。
A Blockchain-Enabled Approach to Cross-Border Compliance and Trust
- 基于区块链与分布式账本技术，建立去中心化AI治理架构。
- 提出金融领域落地场景及未来十年分阶段部署计划。
- 适合关注全球AI监管、跨境数据合规的政策与技术研究者。
随着人工智能系统在关键基础设施和全球运营中日益重要，建立统一且可信赖的治理框架变得尤为紧迫。本文提出一种新型AI治理方法，利用区块链与分布式账本技术（DLT），构建一个去中心化、全球认可的框架，确保AI系统在跨境环境中的安全性、隐私性和可信性。论文在金融领域给出了具体实施场景，规划了未来十年的分阶段部署时间表，并针对潜在挑战提出了基于现有研究的解决方案。通过融合区块链、AI伦理与网络安全领域的进展，本文提供了一条全面的去中心化AI治理路线图，能够适应全球AI监管日益复杂多变的格局。
原文摘要 · Abstract (English)
As artificial intelligence (AI) systems become increasingly integral to critical infrastructure and global operations, the need for a unified, trustworthy governance framework is more urgent that ever. This paper proposes a novel approach to AI governance, utilizing blockchain and distributed ledger technologies (DLT) to establish a decentralized, globally recognized framework that ensures security, privacy, and trustworthiness of AI systems across borders. The paper presents specific implementation scenarios within the financial sector, outlines a phased deployment timeline over the next decade, and addresses potential challenges with solutions grounded in current research. By synthesizing advancements in blockchain, AI ethics, and cybersecurity, this paper offers a comprehensive roadmap for a decentralized AI governance framework capable of adapting to the complex and evolving landscape of global AI regulation.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。