Explainable AI
Explainable AI
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This work explores the field of Explainable Artificial Intelligence (XAI), addressing the critical concern of AI's black-box nature. Topics include distinguishing between interpretable and explainable models, assessing key XAI techniques like LIME and SHAP, and examining their applications in diverse sectors such as healthcare and finance. The importance of XAI for accountability and bias detection is underscored, alongside challenges and future prospects in creating more stable and scalable...