Paper ID:
IJSDIP_2026_VOLUME 14_ISSUE 1_34-43
Author's Name:
D.Bikshapathi, Dr. Hemamalini. S, Mr. Somanagouda Patil, Mr. Kaushik Khan
Volume:
14
Issue:
Issue 1
Year:
2026
Pages:
34-43
Abstract
The two revolutionary technologies that are altering the digital ecosystem are Artificial Intelligence (AI) and Blockchain. AI makes it possible to make decisions automatically, predictively, and intelligently and Blockchain provides decentralized, resistant to tampering, and transparent data management technologies. This paper will discuss the intersection of AI and Blockchain technology and the role that both play in protecting and privatizing data. It looks at how AI-driven systems tend to rely on the massive collection of personal data, which are major privacy issues, and how cryptographic and decentralized architecture of Blockchain can help prevent risks of unauthorized access, tampering of data, and absence of transparency. This paper reviews literature on privacy-preserving methods in systematized research and compares the real-life applications of federated learning, homomorphic encryption, zero-knowledge proofs, and smart contracts.
The conclusions are that even though AI can contribute to the increased efficiency of data use, it also poses threats to bias, surveillance, and centralized control. Blockchain has the potential to enhance trust and accountability, but such challenges as scalability, regulatory ambiguity, and privacy issues posed by immutability (e.g., a right to be forgotten) are still viable limitations. This paper concludes that AI combined with Blockchain has a good potential of providing secure data ecosystems but interdisciplinary governance structures, ethical design principles and scalable architecture are needed.
Practical Limitations: large computational cost, interoperability problems, regulatory disintegration, and complexity of integration using legacy systems.
Future Directions Privacy-preserving AI models on decentralized networks, regulatory harmonization, quantum-resistant cryptography, and scalable hybrid architectures: Integrating on-chain and off-chain solutions.
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