Explainable Artificial Intelligence: Advancements and Limitations

Explainable Artificial Intelligence: Advancements and Limitations

Explainable artificial intelligence (XAI) has emerged as a crucial field for understanding and interpreting the decisions of complex machine learning models, particularly deep neural networks. This review presents a structured overview of XAI methodologies, encompassing a diverse range of techniques...

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Bibliographic Details
Main Authors: Halil Ibrahim Aysel, Xiaohao Cai, Adam Prugel-Bennett
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Applied Sciences
Subjects:
explainable AI
post hoc explanations
saliency maps
concept-based XAI
deep neural networks
semantatic segmentation
Online Access:https://www.mdpi.com/2076-3417/15/13/7261
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