AISA (AI Situational Awareness Foundation for Advancing Automation) is a SESAR Exploratory Research project investigating how to increase automation in air traffic management. The project will explore domain-specific application of transparent and generalizable artificial intelligence methods.
Adoption of higher levels of automation is slow because of the fears of the out-of-the-loop effects where air traffic controllers loose situational awareness due to complacency caused by automation. In the worst-case scenario neither the human is completely aware of the traffic situation nor the machine is able to guarantee that the situation is being handled appropriately. Our approach to this problem aims to solve the problems by introducing artificial situational awareness into the, usually only human, team situational awareness.
AISA will present a vision of automation in a specific ATM operational environment (en-route ATC) and address the challenges of transparency and generalization. During the project, a strategy for providing the necessary information to air traffic controllers in order to make them trust the automated system will be devised. Methods to increase the ability of an automated system to adapt to novel circumstances will be explored.
Prof. Tomislav Radišić
University of Zagreb