From Black Box to Glass Box: A Practical Review of Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence (XAI) has become essential as machine learning systems are deployed in high-stakes domains such as security, finance, and healthcare. Traditional models often act as “black boxes”, limiting trust and accountability. Traditional models often act as “black boxes”, l...

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Vydáno v:	AI (Basel) Ročník 6; číslo 11; s. 285
Hlavní autoři:	Liu, Xiaoming, Huang, Danni, Yao, Jingyu, Dong, Jing, Song, Litong, Wang, Hui, Yao, Chao, Chu, Weishen
Médium:	Journal Article Book Review
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.11.2025
Témata:	Accuracy Algorithms Artificial intelligence Black boxes Capital investments Constraining Decision making Decision trees Disclosure Documentation explainability explainable AI Explainable artificial intelligence Machine learning Neural networks Privacy Security security and privacy Trends Trustworthiness trustworthy AI trustworthy machine learning Zero Trust architecture
ISSN:	2673-2688, 2673-2688
On-line přístup:	Získat plný text
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