A Framework to Use Machine Learning and Provide Assurance for Safety-Critical Air Traffic Management Applications

The continuous expansion of the use of Artificial Intelligence (AI) in new domains brings along new challenges. When dealing with safety-critical applications, where any system failure could lead to catastrophic events it is of vital importance to be able to safely use AI and provide overall operation efficiency benefits. This work proposes a framework to use AI in safety-critical applications. It focuses on the use of AI and more specifically Machine Learning (ML) in the Air Traffic Management (ATM) domain. Three applications of the proposed framework implemented and tested for three major European airports are then described.