RevelioNN: Retrospective Extraction of Visual and Logical Insights for Ontology-based Interpretation of Neural Networks
The need for AI explainability, which involves helping humans understand why an AI algorithm arrived at a particular decision, is crucial in numerous critical applications. Although deep neural networks play a significant role in modern AI, they inherently lack transparency. Consequently, various ap...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
FRUCT
2023-11-01
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| Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| Subjects: | |
| Online Access: | https://www.fruct.org/publications/volume-34/fruct34/files/Aga.pdf |