Explainable Artificial Intelligence (XAI): Concepts, Applications, Challenges, and Future Perspectives

The aim of explainable artificial intelligence (XAI) is to address the black-box problem in high-stakes applications. However, transparency alone does not guarantee trust. This review examines a critical paradox in XAI research. While explanation methods can generate insights, three main challenges...

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Hlavní autoři:	Osman Kaya, A. F. M. Shahen Shah, Muhammet Ali Karabulut, Sumeye Nur Karahan, Mustafa Serdar Osmanca, Nurettin Acir
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2026-01-01
Edice:	IEEE Access
Témata:	Ante-hoc explainable artificial intelligence (XAI) human-centered XAI interpretable machine learning trustworthy AI post-hoc
On-line přístup:	https://ieeexplore.ieee.org/document/11389772/
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