Blockchain-based Distributed AI Models: Trust in AI model sharing

Akaash Vishal Hazarika; Mahak Shah

doi:10.30574/ijsra.2024.13.2.2598

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Blockchain-based Distributed AI Models: Trust in AI model sharing

Akaash Vishal Hazarika ^{1, *} and Mahak Shah ²

1 Department of Computer Science, North Carolina State University.
2 Department of Computer Science, Columbia University.

Review Article

International Journal of Science and Research Archive, 2024, 13(02), 3493-3498.
Article DOI: 10.30574/ijsra.2024.13.2.2598
DOI url: https://doi.org/10.30574/ijsra.2024.13.2.2598

Publication history

Received on 18 November 2024; revised on 22 December 2024; accepted on 25 December 2024

Abstract

This paper explores the intersection of blockchain technology and dis- tributed artificial intelligence (AI) models. We analyze how blockchain can be utilized to secure AI model sharing and training processes in distributed environments, thereby enhancing trust and accountability. Key concepts such as decentralized model training, data provenance, incentivization mechanisms, and the role of smart contracts are discussed in detail. Moreover, the paper examines ethical implications and regulatory challenges inherent in this integration. Potential future research directions are outlined, emphasizing the need for enhanced scalability and interoper- ability, while promoting discussions on blockchain’s implications for data ethics and AI governance.

Keywords

Blockchain; Distributed AI; Model Sharing; Trust Framework; Scalability

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How to cite this article

Akaash Vishal Hazarika and Mahak Shah. Blockchain-based Distributed AI Models: Trust in AI model sharing. International Journal of Science and Research Archive, 2024, 13(02), 3493-3498. https://doi.org/10.30574/ijsra.2024.13.2.2598

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