Peer Reviewed Open Access Journal
Blockchain and Artificial Intelligence (AI) are two transformative technologies that are reshaping modern digital systems. While AI enables intelligent decision-making through data-driven models, blockchain provides decentralized, transparent, and tamper-resistant data management. Their integration has gained increasing attention as a means to address limitations inherent in each technology when deployed independently. This review paper presents a comprehensive survey of blockchain–AI integration, focusing on architectural models, enabling techniques, application domains, and current challenges. The study examines how blockchain enhances trust, data integrity, and accountability in AI systems, while AI improves scalability, efficiency, and automation within blockchain networks. Key application areas including healthcare, finance, Internet of Things, supply chain management, and smart cities are discussed. The paper further identifies open research challenges and future directions necessary to realize secure, scalable, and intelligent decentralized systems.
Blockchain, Artificial Intelligence, Distributed Ledger, Machine Learning, Smart Contracts, Decentralized Systems, Trustworthy AI
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