Optimizing AI Algorithms Using Blockchain for Secure and Transparent Data Sharing

Abstract

Artificial Intelligence (AI) and Blockchain have been game-changing technologies for the last few years in several industries. Given AI tends to crunch through vast datasets to draw upon patterns or make conclusions, it puts it at odds with many longstanding social, legal and economic norms around data privacy, security and transparency. The decentralized nature and immutable ledger of blockchain could prove to be ideal solutions for many of these problems. In this context, this paper proposes a Blockchain-based method to facilitate secure, transparent, and efficient data sharing to optimize AI algorithms for precise Big Data analysis. The proposed approach improves data security by utilizing the unique features of Blockchain (immutability, transparency, and consensus mechanisms), thus maintaining the integrity and trust of AI-driven processes. In this paper, describes the integration framework, discuss the main advantages and compare the performance of AI with and without Blockchain integrated. When Blockchain technology is employed for data sharing and processing, the experimental results show better protection, more transparency, and superior performance of AI models. The analysis emphasizes on the most promising area of Blockchain-AI coupling impact from this study which is to help reshape domains with extreme necessities of data integrity and demand secure collaborative environments like healthcare, finance and supply chain management.