Explainable AI for Communications and Networking

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.

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