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

Vikram Kulothungan
1/15/2025
cs.AIcs.CRcs.CY

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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.

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Cite this paper

@article{kulothungan2025blockchainenabled,
  title  = {A Blockchain-Enabled Approach to Cross-Border Compliance and Trust},
  author = {Vikram Kulothungan},
  year   = {2025},
  eprint = {2501.09182},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2501.09182v1}
}

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