Abstract
The convergence of blockchain technology and artificial intelligence (AI) presents transformative potential across industries by enhancing data integrity, decentralization, and trust in AI systems. Blockchain’s immutable ledger can secure AI training data, enable decentralized model training, and facilitate transparent governance, while AI can optimize blockchain operations through smart analytics. However, challenges such as scalability, interoperability, and regulatory concerns persist. This review explores key applications, existing literature, and implementation frameworks where blockchain strengthens AI, fostering a more accountable, secure, and collaborative AI ecosystem.