Changes in the Air Traffic Management (ATM) domain are continuous and challenges of research, development and transition to introduce these changes are daily life for Air Navigation Service Providers (ANSPs) and their staff: air traffic controllers, technicians, engineers, managers, and decision-makers. Automation is nothing new in the ATM system. The so-called ‘new technologies’ leading digitalization, including Artificial Intelligence (AI) and Machine learning (ML), are finding their way into the ATM working environment. Whereas a lot of expectation is linked to technology hype, introducing new technology will have to follow the path of introducing new technological components into a running ATM system.
