Do Explanations Reflect Decisions? A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms

16 Oct 2019Zhong Qiu LinMohammad Javad ShafieeStanislav BochkarevMichael St. JulesXiao Yu WangAlexander Wong

There has been a significant surge of interest recently around the concept of explainable artificial intelligence (XAI), where the goal is to produce an interpretation for a decision made by a machine learning algorithm. Of particular interest is the interpretation of how deep neural networks make decisions, given the complexity and `black box' nature of such networks... (read more)

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