A Blockchain-Enabled Approach to Cross-Border Compliance and Trust

TL;DR

This paper proposes a blockchain-based decentralized framework for global AI governance, enhancing security, privacy, and trustworthiness across borders, with specific financial sector applications and a phased deployment plan.

Contribution

It introduces a novel blockchain-enabled approach to AI governance, integrating blockchain, AI ethics, and cybersecurity for a comprehensive global regulation framework.

Findings

Framework ensures enhanced security and trust in AI systems

Implementation scenarios demonstrate practical applicability in finance

Roadmap outlines phased deployment over a decade

Abstract

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.