Data storytelling meets interpretable machine learning: Decoding AI decisions for non-experts without revealing sensitive data and model details
AI-driven automated decision-making requires both predictive performance and interpretability. Recent advances in interpretable machine learning (IML) provide tools for explaining model predictions, but the technical complexity of these explanations may hinder accessibility to non-experts. To address this challenge, th...
Le-Men Chao, Zi-Xuan Yang, An-Ran Fang et al.
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