What do we want from Explainable Artificial Intelligence (XAI)? – A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research

• Published in: Artificial intelligence Vol. 296; p. 103473
• Main Authors: Langer, Markus, Oster, Daniel, Speith, Timo, Hermanns, Holger, Kästner, Lena, Schmidt, Eva, Sesing, Andreas, Baum, Kevin
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.07.2021; Elsevier Science Ltd
• Subjects: Artificial intelligence; Explainability; Explainable Artificial Intelligence; Explanations; Human-Computer Interaction; Interdisciplinary aspects; Interdisciplinary Research; Interpretability; Understanding; Explainable Artificial Intelligence; Interpretability; Explanations; Understanding; Interdisciplinary Research; Explainability; Human-Computer Interaction
• ISSN: 0004-3702; 1872-7921
• DOI: 10.1016/j.artint.2021.103473

Previous research in Explainable Artificial Intelligence (XAI) suggests that a main aim of explainability approaches is to satisfy specific interests, goals, expectations, needs, and demands regarding artificial systems (we call these “stakeholders' desiderata”) in a variety of contexts. Howeve...