A Blockchain-Enabled Approach to Cross-Border Compliance and Trust
It addresses the need for a unified, secure, and privacy-preserving governance framework for AI systems across borders, particularly in critical infrastructure, but is incremental as it synthesizes existing technologies like blockchain and AI ethics.
This paper tackles the problem of establishing a trustworthy governance framework for AI systems in global operations by proposing a blockchain-enabled approach, resulting in a comprehensive roadmap for decentralized governance with specific implementation scenarios in finance and a phased deployment timeline over the next decade.
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.