Overview

The aviation industry stands at a pivotal moment where increasing traffic demand, evolving airspace complexities, and heightened safety expectations intersect with unprecedented advancements in artificial intelligence. AI in Air Traffic Control (ATC), Air Traffic Management (ATM) and Safety: From Radar Screens to Intelligent Decision Support in the Sky explores this transformation, tracing the evolution from traditional surveillance and human-centered decision-making toward data-driven, predictive, and intelligent systems. This book examines how AI can enhance situational awareness, improve flow management, and elevate safety performance - while maintaining the rigor, reliability, and accountability that the aviation community requires. It is written for professionals, engineers, researchers, and students seeking a comprehensive understanding of the ATM data ecosystem and the AI methods poised to reshape it. At the same time, the book underscores that AI is not a replacement for the expertise of air traffic controllers, supervisors, flow managers, and safety analysts. Instead, it highlights how human-AI teaming represents the future of safe and efficient airspace management. By integrating machine intelligence with human judgment, aviation can achieve a more proactive, adaptive, and resilient operational environment. Across its chapters, this book offers technical foundations, real-world applications, safety considerations, and governance frameworks - culminating in a capstone exploration of how AI-enabled solutions might be implemented in live operations. Readers are invited to engage critically, reflect on emerging opportunities and challenges, and contribute to shaping the next generation of safe, intelligent air traffic management.

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