611 citations · 640 across the 7 of their papers we have counts for
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What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research
Markus Langer, Daniel Oster, Timo Speith +5
Previous research in Explainable Artificial Intelligence (XAI) suggests that a main aim of explainability approaches is to satisfy specific interests, goals, expectations, needs, a…
Towards a Framework Combining Machine Ethics and Machine Explainability
Kevin Baum, Holger Hermanns, Timo Speith
We find ourselves surrounded by a rapidly increasing number of autonomous and semi-autonomous systems. Two grand challenges arise from this development: Machine Ethics and Machine…
Multi-Objective Approaches to Markov Decision Processes with Uncertain Transition Parameters
Dimitri Scheftelowitsch, Peter Buchholz, Vahid Hashemi +1
Markov decision processes (MDPs) are a popular model for performance analysis and optimization of stochastic systems. The parameters of stochastic behavior of MDPs are estimates fr…