Blockchain-based Distributed AI Models: Trust in AI model sharing
Akaash Vishal Hazarika, Mahak Shah · International Journal of Science and Research Archive · 2024
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.