544 citations · 617 across the 22 of their papers we have counts for
3 papers · 1 filter
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…
Towards a trustworthy, secure and reliable enclave for machine learning in a hospital setting: The Essen Medical Computing Platform (EMCP)
Hendrik F. R. Schmidt, Jörg Schlötterer, Marcel Bargull +4
AI/Computing at scale is a difficult problem, especially in a health care setting. We outline the requirements, planning and implementation choices as well as the guiding principle…
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…