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Titel: What do we want from Explainable Artificial Intelligence (XAI)? – A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research
VerfasserIn: Langer, Markus
Oster, Daniel
Kästner, Lena
Speith, Timo
Baum, Kevin
Hermanns, Holger
Schmidt, Eva
Sesing, Andreas
Sprache: Englisch
Titel: Artificial intelligence
Bandnummer: 296
Verlag/Plattform: Elsevier
Erscheinungsjahr: 2021
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: 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. However, the literature on XAI is vast, spreads out across multiple largely disconnected disciplines, and it often remains unclear how explainability approaches are supposed to achieve the goal of satisfying stakeholders' desiderata. This paper discusses the main classes of stakeholders calling for explainability of artificial systems and reviews their desiderata. We provide a model that explicitly spells out the main concepts and relations necessary to consider and investigate when evaluating, adjusting, choosing, and developing explainability approaches that aim to satisfy stakeholders' desiderata. This model can serve researchers from the variety of different disciplines involved in XAI as a common ground. It emphasizes where there is interdisciplinary potential in the evaluation and the development of explainability approaches.
DOI der Erstveröffentlichung: 10.1016/j.artint.2021.103473
URL der Erstveröffentlichung: https://www.sciencedirect.com/science/article/abs/pii/S0004370221000242
Link zu diesem Datensatz: hdl:20.500.11880/31493
http://dx.doi.org/10.22028/D291-33352
ISSN: 0004-3702
Datum des Eintrags: 7-Jul-2021
Fakultät: P - Philosophische Fakultät
Fachrichtung: P - Philosophie
Professur: P - Jun.-Prof. Dr. Lena Kästner
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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