Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems

The recent surge of interest in explainability in artificial intelligence (XAI) is propelled by not only technological advancements in machine learning but also by regulatory initiatives to foster transparency in algorithmic decision making. In this article, we revise the current concept of explaina...

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Veröffentlicht in:	IEEE transactions on cognitive and developmental systems 2021-09, Vol.13 (3), p.717-728
Hauptverfasser:	Rohlfing, Katharina J., Cimiano, Philipp, Scharlau, Ingrid, Matzner, Tobias, Buhl, Heike M., Buschmeier, Hendrik, Esposito, Elena, Grimminger, Angela, Hammer, Barbara, Hab-Umbach, Reinhold, Horwath, Ilona, Hullermeier, Eyke, Kern, Friederike, Kopp, Stefan, Thommes, Kirsten, Ngonga Ngomo, Axel-Cyrille, Schulte, Carsten, Wachsmuth, Henning, Wagner, Petra, Wrede, Britta
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Computational modeling Decision making Explainability explainable artificial systems Machine learning Machine learning algorithms Monitoring process of explaining and understanding Receivers Scaffolding Surges Task analysis
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