可解释人工智能方法评论：SHAP 和 LIME（英文版）

英文标题：Commentary on explainable artificial intelligence methods: SHAP and LIME中文摘要：这篇论文探讨解释的可解释人工智能（XAI）方法，特别是 SHapley 加性解释和局部可解释模型无关解释等两种使用广泛的方法，提出一个框架来解释它们的输出，强调它们的优缺点。英文摘要：eXplainable artificial intelligence (XAI) methods have emerged to convert theblack box of machine learning models into a more digestible form. These methodshelp to communicate how the model works with the aim of making machine learningmodels more transparent and increasing the trust of end-users into theiroutput. SHapley Add