一种支持区块链的跨境合规与信任方法
A Blockchain-Enabled Approach to Cross-Border Compliance and Trust
AI总结：
针对AI系统跨境治理缺乏统一可信框架的问题，提出基于区块链和DLT的去中心化全球AI治理方案，给出金融领域落地场景、十年分阶段部署计划及挑战应对方案，为适配全球监管演变提供路线图。
摘要：
随着人工智能（AI）系统日益成为关键基础设施和全球运营不可或缺的组成部分，对统一、可信的治理框架的需求比以往任何时候都更加迫切。本文提出了一种新颖的AI治理方法，利用区块链和分布式账本技术（DLT）建立一个去中心化的、全球认可的框架，以确保跨境AI系统的安全性、隐私性和可信性。本文介绍了金融领域的具体实施场景，概述了未来十年的分阶段部署时间表，并结合当前研究提出了应对潜在挑战的解决方案。通过综合区块链、AI伦理和网络安全领域的进展，本文为去中心化AI治理框架提供了全面路线图，该框架能够适应复杂且不断演变的全球AI监管格局。
英文摘要：
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.
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。
