Computer Science
What do algorithms explain? The issue of the goals and capabilities of Explainable Artificial Intelligence (XAI)
M. Renftle, H. Trittenbach, et al.
Discover the intriguing world of Explainable AI as Moritz Renftle, Holger Trittenbach, Michael Poznic, and Reinhard Heil examine the flaws in current reasoning schemes in XAI literature. They challenge conventional understandings of interpretability and trust, proposing a fresh, user-centric viewpoint on simplifying machine learning models with interpretable attributes. This paper sheds light on the dual challenges of approximation and translation in AI interpretation.
Playback language: English
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