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The document presents a comprehensive review of Multimodal Explainable Artificial Intelligence (MXAI), focusing on recent methodological advances and future research directions. It systematically analyzes MXAI methods, their applications, datasets, and evaluation metrics, while addressing challenges unique to multimodal scenarios. The study aims to enhance transparency and trustworthiness in AI systems by providing meaningful explanations of model reasoning processes across various modalities.

Author

khalil.azroul2003

Language

EN