611 citations · 654 across the 10 of their papers we have counts for
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A New Perspective on Evaluation Methods for Explainable Artificial Intelligence (XAI)
Timo Speith, Markus Langer
Within the field of Requirements Engineering (RE), the increasing significance of Explainable Artificial Intelligence (XAI) in aligning AI-supported systems with user needs, societ…
Revisiting the Performance-Explainability Trade-Off in Explainable Artificial Intelligence (XAI)
Barnaby Crook, Maximilian Schlüter, Timo Speith
Within the field of Requirements Engineering (RE), the increasing significance of Explainable Artificial Intelligence (XAI) in aligning AI-supported systems with user needs, societ…
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…