544 citations · 728 across the 11 of their papers we have counts for
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cs.AI2022★ 12 cited
From Black Boxes to Conversations: Incorporating XAI in a Conversational Agent
Van Bach Nguyen, Jörg Schlötterer, Christin Seifert
The goal of Explainable AI (XAI) is to design methods to provide insights into the reasoning process of black-box models, such as deep neural networks, in order to explain them to…
cs.AI2022★ 544 cited
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI
Meike Nauta, Jan Trienes, Shreyasi Pathak +6
The rising popularity of explainable artificial intelligence (XAI) to understand high-performing black boxes raised the question of how to evaluate explanations of machine learning…