Blockchain-Powered Explainable AI for Transparent Decision-Making

Authors

  • Prof. Rajeev Jain Author

Abstract

Explainable AI (XAI) aims to make AI decisions more transparent and understandable to human users. However, ensuring the integrity and traceability of explanations remains a challenge. This paper introduces a blockchain-powered framework for explainable AI, where explanations of AI decisions are recorded on an immutable ledger. By leveraging blockchain, we ensure that explanations are tamper-proof and can be traced back to the original decision-making process. The framework also supports the use of smart contracts to automatically verify the consistency and validity of explanations, providing users with trustable insights into AI decisions. We apply our approach to various AI applications, including healthcare diagnostics and financial forecasting, where explainability is crucial. Experimental results indicate that the blockchain-powered XAI framework enhances user trust and understanding of AI systems while maintaining the accuracy and reliability of AI models.

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Published

2023-10-13

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Section

Articles

How to Cite

Blockchain-Powered Explainable AI for Transparent Decision-Making. (2023). International Journal of Holistic Management Perspectives, 4(4). https://injmr.com/index.php/IJHMP/article/view/89

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