Background: Artificial Intelligence (AI) and Blockchain technology, while powerful individually, face significant challenges when applied in isolation. AI systems are often plagued by issues of data integrity and a lack of transparency, while Blockchain networks can be limited by scalability and a need for intelligent automation. This paper explores the synergistic potential of integrating these two technologies to create a new paradigm of secure, decentralized, and trustworthy systems.

Methods: This article presents a systematic review and a conceptual framework based on a synthesis of existing literature. We analyze the foundational synergies, architectural components, and practical applications across multiple domains, including healthcare, supply chains, and finance. The analysis identifies key challenges and proposes future research directions to facilitate broader adoption.

Results: The findings reveal a powerful mutual reinforcement: AI can optimize Blockchain operations and enhance security, while Blockchain provides a critical layer of trust, security, and immutability for AI. Specifically, Blockchain ensures data integrity and offers an immutable audit trail that improves AI explainability. A key application is the development of AI-enhanced smart contracts, which enable automated and intelligent decision-making. The framework provides a blueprint for creating decentralized and transparent AI systems.

Conclusion: The integration of AI and Blockchain is not merely additive but synergistic, creating a foundation for next-generation digital infrastructure. While challenges related to scalability, interoperability, and legal ambiguity remain, the strategic potential of this combination is immense. We conclude that by ensuring data integrity, traceability, and auditability, Blockchain enables the development of decentralized and trustworthy AI systems, paving the way for more secure and transparent digital ecosystems.