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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Autori principali:	Xiaoming Liu, Danni Huang, Jingyu Yao, Jing Dong, Litong Song, Hui Wang, Chao Yao, Weishen Chu
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2025-11-01
Serie:	AI
Soggetti:	explainable AI trustworthy AI trustworthy machine learning explainability security and privacy Zero Trust architecture
Accesso online:	https://www.mdpi.com/2673-2688/6/11/285
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