TITLE:
Blockchain as a Platform for Artificial Intelligence (AI) Transparency
AUTHORS:
Afroja Akther, Ayesha Arobee, Abdullah Al Adnan, Omum Auyon, Farhad Akter, Antura Akter, ASM Johirul Islam
KEYWORDS:
Artificial Intelligence (AI), Blockchain, AI Transparency, Black Box Problem, Decentralization
JOURNAL NAME:
Journal of Computer and Communications,
Vol.14 No.8,
August
28,
2026
ABSTRACT: As artificial intelligence (AI) systems become increasingly complex and autonomous, concerns over transparency and accountability have intensified. The “black box” problem in AI decision-making limits stakeholders’ ability to understand, trust, and verify outcomes, particularly in high-stakes sectors such as healthcare, finance, and autonomous systems. Blockchain technology, with its decentralized, immutable, and transparent characteristics, presents a potential solution to enhance AI transparency and auditability. This paper explores the integration of blockchain with AI to improve decision traceability, data provenance, and model accountability. By leveraging blockchain as an immutable record-keeping system, AI decision-making can become more interpretable, fostering trust among users and regulatory compliance. However, challenges such as scalability, integration complexity, and computational overhead must be addressed to fully realize this synergy. Using a narrative literature review and conceptual analysis, this study synthesizes existing research and proposes a framework for blockchain-enhanced AI transparency, and highlights practical applications, benefits, and limitations. The findings suggest that blockchain could be a foundational technology for ensuring AI systems remain accountable, ethical, and aligned with regulatory standards.