Immutable Explainability: Fuzzy Logic and Blockchain for Verifiable Affective AI
Published:Dec 11, 2025 19:35
•1 min read
•ArXiv
Analysis
This article proposes a novel approach to enhance the explainability and trustworthiness of Affective AI systems by leveraging fuzzy logic and blockchain technology. The combination aims to create a system where the reasoning behind AI decisions is transparent and verifiable. The use of blockchain suggests an attempt to ensure the immutability of the explanation process, which is a key aspect of building trust. The application to Affective AI, which deals with understanding and responding to human emotions, is particularly interesting, as it highlights the importance of explainability in sensitive applications. The article likely delves into the technical details of how fuzzy logic is used to model uncertainty and how blockchain is employed to secure the explanation data. The success of this approach hinges on the practical implementation and the effectiveness of the proposed methods in real-world scenarios.
Key Takeaways
- •Proposes a method to improve explainability and trustworthiness of Affective AI.
- •Combines fuzzy logic and blockchain for verifiable reasoning.
- •Focuses on the immutability of the explanation process.
- •Addresses the importance of explainability in sensitive AI applications.
Reference
“The article likely discusses the technical details of integrating fuzzy logic and blockchain.”