Published 20-09-2024
Keywords
- Blockchain,
- Artificial Intelligence,
- Explainability,
- Transparency,
- Trust
- Model Accountability ...More
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
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Abstract
The advent of artificial intelligence (AI) has revolutionized various sectors, but concerns regarding the explainability of AI models have arisen. Explainability is crucial for building trust and ensuring accountability in AI-driven systems. This paper explores the intersection of blockchain technology and AI model explainability, proposing that blockchain can enhance transparency in AI decision-making processes. By providing an immutable and decentralized record of model training data, decisions, and updates, blockchain technology may facilitate better understanding and interpretation of AI outputs. However, integrating blockchain into AI systems presents challenges, such as scalability, complexity, and regulatory issues. This paper discusses these challenges and identifies potential opportunities for improving AI explainability through blockchain, offering insights into future research directions in this evolving domain.
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