Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvement

Explainable Artificial Intelligence (XAI) is an emerging research field bringing transparency to highly complex and opaque machine learning (ML) models. Despite the development of a multitude of methods to explain the decisions of black-box classifiers in recent years, these tools are seldomly used...

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Hauptverfasser: Weber, Leander, Lapuschkin, Sebastian, Binder, Alexander, Samek, Wojciech
Format: Artikel
Sprache:eng
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