ContributorsForewordPrefaceBook OrganizationAcknowledgmentsAcronymsI Introduction1 Evolution of Mobile Networks1.1 Introduction1.2 The Rise of 5G1.3 6G Mobile Communication Networks1.4 6G as Envisioned Today1.5 Key Driving Trends Towards 6G1.6 6G Requirements and Vision1.7 6G Development Timeline2 Role of AI in 6G2.1 The background of AI2.2 History of AI3 Background of XAI3.1 Explainable AI3.2 Core Terminologies3.3 Taxonomies of Explainable AI3.4 Explainable Reinforcement Learning (XRL)II XAI for 6G Network Operations and Management4 Role of XAI in 6G4.1 Role of XAI for AI-powered 6G5 XAI for Intelligent Radio5.1 Requirements and Challenges5.2 Role of XAI6 XAI for Resource Management6.1 Requirements and Challenges6.2 Role of XAI7 XAI for Edge AI7.1 Requirements and Challenges7.2 Role of XAI8 XAI for Security and Privacy Trust and Security8.1 Requirements and Challenges8.2 Role of XAI8.3 Requirements and Challenges8.4 Role of XAI9 Network Automation and Zero Touch Network and Service Management (ZSM)9.1 Zero-Touch Network and Service Management (ZSM)9.2 Requirements and Challenges9.3 Role of XAIIII XAI for 6G Applications and Services10 XAI for Multi-sensory XR Applications, Holographic Telepresence, Metaverse10.1 Requirements and Challenges10.2 Role of XAI11 XAI for Smart Grid 2.011.1 Requirements and Challenges11.2 Role of XAI12 XAI for Connected Autonomous Vehicles, UAVs12.1 Requirements and Challenges12.2 Role of XAI13 XAI for Industry 5.0, Collaborative Robots, Digital Twin13.1 Requirements and Challenges13.2 Role of XAI14 XAI for Intelligent Health and Wearable, Body Area Networks14.1 Requirements and Challenges14.2 Role of XAIIV Discussion15 Discussion15.1 Limitations and Challenges of XAI for 6G15.2 Defining Research Frontiers for 6G Transparency
