Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability

Machine learning algorithms enable advanced decision making in contemporary intelligent systems. Research indicates that there is a tradeoff between their model performance and explainability. Machine learning models with higher performance are often based on more complex algorithms and therefore la...

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Veröffentlicht in:	arXiv.org
Hauptverfasser:	Lukas-Valentin Herm, Heinrich, Kai, Wanner, Jonas, Janiesch, Christian
Format:	Paper
Sprache:	Englisch
Veröffentlicht:	Ithaca Cornell University Library, arXiv.org 20.06.2022
Schlagworte:	Algorithms Artificial intelligence Complexity Decision making Explainable artificial intelligence Machine learning Perception Tradeoffs
ISSN:	2331-8422
Online-Zugang:	Volltext
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