AI decision-making is now common in self-driving cars, patient diagnosis and legal consultation, and it needs to be safe and trustworthy. Researchers have been trying to demystify complex AI models by developing interpretable and transparent models, collectively known as explainable AI methods or explainable AI (XAI) methods. A research team offered their insight specifically into audio XAI models in a review article published in Intelligent Computing.AI decision-making is now common in self-driving cars, patient diagnosis and legal consultation, and it needs to be safe and trustworthy. Researchers have been trying to demystify complex AI models by developing interpretable and transparent models, collectively known as explainable AI methods or explainable AI (XAI) methods. A research team offered their insight specifically into audio XAI models in a review article published in Intelligent Computing.[#item_full_content]
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