As governments accelerate their digital transformation efforts, the integration of trusted artificial intelligence (AI) and service computing is enabling more efficient, transparent, and citizen-centric public services. Trusted AI emphasizes fairness, accountability, security, privacy, and explainability, ensuring that automated decision-making systems operate ethically while maintaining public trust. Service computing provides the technological foundation required to design, manage, and optimize complex digital services across government agencies. Together, these domains empower digital governments to enhance service delivery, improve policy implementation, streamline administrative processes, and foster greater civic engagement. As societies become increasingly interconnected, the demand for secure, reliable, and inclusive digital public services continues to grow, highlighting the importance of exploring the evolving relationship between trusted AI, service computing, and effective digital governance. Transforming Trusted AI and Service Computing for Effective Digital Government examines the critical role of trust in the design, deployment, and management of AI-driven government services. It explores how trusted AI and service computing can be effectively integrated to strengthen public sector operations, improve decision-making, and enhance the delivery of digital services. Combining theoretical foundations with practical strategies, the book provides valuable insights into developing trustworthy AI systems that prioritize security, transparency, fairness, and accountability. Covering topics such as algorithms, security and privacy, and sociology, this book serves as an essential resource for government officials, computer engineers, security professionals, academics, researchers, and scientists.