Artificial Intelligence Data Model Verification through Distributed Ledger Technology

Abstract

The integration of Artificial Intelligence (AI) and Distributed Ledger Technology (DLT) into Decision Support Systems (DSS) is revolutionizing agriculture, enabling data-driven decision-making and ensuring the integrity of AI model results for enhanced productivity. To ensure the reliability of AI-driven insights, a pioneering approach is proposed, which employs Distributed Ledger Technology (DLT). The proposed system combines advanced AI algorithms with the security and transparency of DLT. By leveraging digital signatures, cryptographic hashing, and timestamping, this solution guarantees the immutability of data recorded in the ledger. This innovation fosters stakeholder trust, enabling independent verification of AI model outputs by policymakers, researchers, and farmers. The system’s accountability and transparency make it a valuable tool for promoting data interoperability and collaboration across diverse agricultural systems. This study outlines the system’s architecture, testing, and assessment, highlighting its role in preserving data integrity and ensuring accurate AI model outputs. This technology has the potential to revolutionize decision-making in AI-driven agriculture, addressing critical concerns around data reliability and promoting more efficient and sustainable practices.