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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...

Ful tanımlama

Kaydedildi:
Asıl Yazarlar: Osman Kaya, A. F. M. Shahen Shah, Muhammet Ali Karabulut, Sumeye Nur Karahan, Mustafa Serdar Osmanca, Nurettin Acir
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: IEEE 2026-01-01
Seri Bilgileri:IEEE Access
Konular:
Ante-hoc
explainable artificial intelligence (XAI)
human-centered XAI
interpretable machine learning
trustworthy AI
post-hoc
Online Erişim:https://ieeexplore.ieee.org/document/11389772/
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