Generative Artificial Intelligence and Explainable Artificial Intelligence for Real-world Applications

Name: Generative Artificial Intelligence and Explainable Artificial Intelligence for Real-world Applications
Brand: Taylor & Francis
Price: 412.5 AUD
Availability: PreOrder

By: Ramkumar Rajendran

Write A Review

eText | 27 October 2026 | Edition Number 1

At a Glance

Format
ePUB

eText

$412.50

or 4 interest-free payments of $103.13 with

Available: 27th October 2026

Preorder. Online access available after release.

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

This book integrates the concepts of explainable artificial intelligence and generative explainable artificial intelligence, showcasing how explainability can be incorporated into generative models. It highlights the importance of making generative models transparent, offering strategies to achieve this through interpretability techniques.

The book:

Focuses on the principles and methodologies of explainable artificial intelligence, providing readers with a thorough understanding of how artificial intelligence models can be made transparent and interpretable.
Explores explainable artificial intelligence techniques, including feature importance, SHAP values, LIME, and counterfactual explanations.
Offers an in-depth examination of generative artificial intelligence, covering cutting-edge advancements in generative models like GANs, VAEs, and transformer-based architectures.
Bridges the gap between theoretical concepts and their practical applications, making advanced artificial intelligence technologies accessible to the readers.
Includes numerous case studies and real-world examples that demonstrate the successful application of generative artificial intelligence and explainable artificial intelligence.

The text is primarily written for graduate students and academic researchers in electrical engineering, electronics and communication engineering, computer science and engineering, biomedical engineering, and information technology.