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Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Explainable AI (Xai)

Explainable AI (Xai)

Hardcover

General Computers

ISBN10: 1787156109
ISBN13: 9781787156104
Publisher: Kruger Brentt Publisher Uk. Ltd.
Published: Jan 1 2026
Pages: 274
Weight: 1.94
Height: 0.88 Width: 7.00 Depth: 10.00
Language: English
Introduces the fundamental concepts of explainable and interpretable AI. Provides a clear distinction between black-box, glass-box, and hybrid AI models. Covers popular XAI techniques, including feature importance, LIME, SHAP, counterfactuals, and surrogate models. Examines applications of XAI across healthcare, finance, agriculture, governance, cybersecurity, and education. Discusses ethical concerns, bias detection, fairness, and accountability in AI systems. Explores the role of XAI in regulatory compliance and trustworthy AI frameworks. Integrates real-world case studies to demonstrate practical implementation. Serves as a valuable resource for students, researchers, policymakers, and industry professionals.

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General Computers