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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Bibliographic Details
Published in:	AI (Basel) Vol. 6; no. 11; p. 285
Main Authors:	Liu, Xiaoming, Huang, Danni, Yao, Jingyu, Dong, Jing, Song, Litong, Wang, Hui, Yao, Chao, Chu, Weishen
Format:	Journal Article Book Review
Language:	English
Published:	Basel MDPI AG 01.11.2025
Subjects:	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
Online Access:	Get full text
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