“Artificial Intelligence in future ATM” training course

Artificial intelligence (AI) has already delivered breakthroughs in various fields, and is now changing the face of aviation. Nevertheless, AI can also entail new risks or have negative consequences at many levels of society. For this reason, the EASA Artificial Intelligence Roadmap established an initial vision on the safety and ethical aspects of AI development in aviation.

Artificial intelligence in future ATM

Artificial intelligence (AI) is a fast-evolving family of technologies inspired by human intellectual processes; these comprise, for example, the ability to reason, discover meaning, generalise, act flexibly or learn from past experience. By improving prediction and optimising operations and resource allocation, AI has already delivered breakthroughs in various applications. For sure, it has the potential for a wide array of economic and societal benefits across the entire spectrum of industries, including aviation.

AI can, however, also entail new risks or have negative consequences for individuals, organisations, or society. For this reason, the European Commission has recently issued a proposal for a regulatory framework; this is specifically intended to define a set of harmonised rules for the use of artificial intelligence systems in the Union. The topic is also key for the aviation domain. That is why EASA established its Roadmap and vision on the safety and ethical dimensions of the development of AI in the aviation domain.


After completing this training course:
– Participants will have an understanding of the foundational concepts of artificial intelligence (AI), with a particular focus on the current and future applications of AI in the ATM domain.
– They will be able to describe possible applications and analyse benefits for individuals, organisations, and the overall ATM system, as well as the possible safety, ethical, and legal implications of using AI systems.
– Attendees will have increased awareness about the AI roadmap developed by EASA and the regulatory aspects of using AI systems at European level.

Target audience

The course is designed for a wide audience, including but not limited to:
Managers interested in ATM technological innovation
Safety managers
– Engineers and system developers

Location and dates

Location: Virtual course.
Duration: this course takes place over 3 days. You will have 3 virtual sessions. You need to plan 12 hours to complete this course.
Available dates: 2-4 November 2021.

For more information and to book your seat, visit the EUROCONTROL training zone.

Vera Ferraiuolo

Senior Dissemination Consultant