Explainable AI for Communications and Networking
Toward Responsible Automation
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53 869 Ft
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Product details:
- Publisher Academic Press
- Date of Publication 18 April 2025
- ISBN 9780443291357
- Binding Paperback
- No. of pages252 pages
- Size 229x152 mm
- Weight 450 g
- Language English 700
Categories
Long description:
Explainable AI for Communications and Networking: Toward Responsible Automation gives a tour into the realm of Explainable Artificial Intelligence (XAI) and its impact on transparent and autonomous communication networks. The book equips readers from diverse backgrounds in communications and networking with a variety of XAI tools, metrics and frameworks to demystify AI systems through graphical taxonomies and mathematical formulations, which are further enriched with code snippets. The book also examines XAI implementation in wireless communications, network management, generative AI for telecom and cybersecurity, before presenting practical use-cases emanating from an industry perspective. Finally, the regulatory, ethical, and legal implications of XAI in telecommunications are reviewed, before concluding with key challenges and takeaways.
- Includes XAI graphical taxonomies, metrics, formulations and code snippets.
- Provides practical examples and use-cases from a telecom industry perspective.
- Covers implementation guidelines (XAI libraries/implementation tools) tailored to a communications and networking context.
- Highlights the application of XAI in wireless communications, network management, generative AI for telecom and cybersecurity.
- Presents a thorough synthesis of the regulatory and ethical implications of XAI worldwide.
Table of Contents:
1. AI-Driven Network Automation
2. Explainable AI Overview
3. XAI Metrics and Frameworks
4. XAI for Wireless Communications
5. Neuro-Symbolic XAI for Communications
6. XAI for Network Management
7. Responsible Generative AI for Telecom
8. Explainable AI for Cybersecurity Decision: Challenges and Opportunities
9. Explainable AI for Telecom Use-Cases
10. XAI: Regulatory and Ethical Aspects
11. Future Directions and Challenges
12. Conclusions: A Human-Centric Perspective
