Explainable AI for Communications and Networking
eBook - ePub

Explainable AI for Communications and Networking

Toward Responsible Automation

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Explainable AI for Communications and Networking

Toward Responsible Automation

About this book

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.

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Yes, you can access Explainable AI for Communications and Networking by Hatim Chergui,Melike Erol-Kantarci,Christos Verikoukis in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Mobile & Wireless Communications. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Title of Book
  2. Chapter One: AI-driven network automation
  3. Chapter Two: Explainable AI overview
  4. Chapter Three: XAI metrics and frameworks
  5. Chapter Four: XAI for wireless communications
  6. Chapter Five: Neuro-symbolic XAI for communications
  7. Chapter Six: XAI for network management
  8. Chapter Seven: Responsible generative AI for telecom
  9. Chapter Eight: Explainable AI for cybersecurity decisions: challenges and opportunities
  10. Chapter Nine: Explainable AI for telecom use cases
  11. Chapter Ten: XAI: regulatory and ethical aspects
  12. Chapter Eleven: Future directions and challenges
  13. Chapter Twelve: Conclusions: a human-centric perspective
  14. Index