Understanding AI-Powered Blockchain Voting Systems Incorporating Biometric Verification

Abstract

In recent years, the convergence of Artificial Intelligence (AI), Blockchain, and Biometric technologies has revolutionized digital identity verification and secure electronic voting systems. The demand for transparent, tamper-proof, and fraud-resistant voting mechanisms has prompted researchers to explore distributed ledgers combined with intelligent authentication systems. This paper presents a comprehensive survey of AI-enabled blockchain voting architectures integrating biometric verification. The study explores technical advancements from 2020 to 2025 in decentralized voting, intelligent fraud detection, and privacy-preserving biometric mechanisms. We classify recent research trends, analyze current methodologies, and identify open challenges and future directions in implementing scalable and trustworthy e-voting frameworks. The analysis concludes that integrating blockchain’s immutability with AI-driven fraud detection and biometric identification ensures high security, transparency, and reliability in modern digital democracies.