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...

תיאור מלא

מידע ביבליוגרפי

Principais autores:	Xiaoming Liu, Danni Huang, Jingyu Yao, Jing Dong, Litong Song, Hui Wang, Chao Yao, Weishen Chu
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2025-11-01
סדרה:	AI
נושאים:	explainable AI trustworthy AI trustworthy machine learning explainability security and privacy Zero Trust architecture
גישה מקוונת:	https://www.mdpi.com/2673-2688/6/11/285
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!