Scinovex
Physical Sciences → Computer Science → Artificial Intelligence

Explainable Artificial Intelligence (XAI)

This cluster of papers focuses on Explainable Artificial Intelligence (XAI) and the development of interpretable models, visual explanations, and responsible machine learning interpretability. It explores concepts, challenges, and opportunities in XAI, including the use of gradient-based localization, understanding deep neural networks, feature importance, and addressing black box models. The papers also discuss the responsibility and ethical considerations in AI.

53.2K works worldwide448.7K citations
Interpretable ModelsMachine Learning InterpretabilityVisual ExplanationsXAI ConceptsModel InterpretabilityGradient-Based LocalizationDeep Neural NetworksFeature ImportanceBlack Box ModelsResponsibility in AI

Journals publishing in this area

1
Machine Learning
ISSN 0885-6125134 articles in this topic
260h-index
2International Journal of Computing and Artificial Intelligence cover
6h-index
3International Journal of Cloud Computing and Database Management cover
3h-index