ARTIMATION - Transparent Artificial Intelligence and Automation to Air Traffic Management systems
The research project ARTIMATION focuses on investigating AI (Artificial Intelligence) methods, based on the domain of XAI (Explainable Artificial Intelligence), in predicting air transportation traffic and optimising traffic flows. Safety is the major pillar to air traffic management, and no black box process can be inserted in a decision-making process when human life is involved.
European Union’s Horizon 2020
ECOLE NATIONALE DE L AVIATION CIVILE; UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA; DEEP BLUE SRL
Project manager at MDH
Mobyen Uddin Ahmed
The aim of the research project ARTIMATION is to assist the ATM operators based on the domain of XAI.
Project activities include investigation of specific features such as lifelong machine learning, Data-Driven Storytelling, Immersive Analytics, Visualisation, Brain-Computer Interface (BCI) and user-centric AI to make the AI system very useful for operators of ATM-systems.
The transparent AI models with explainable decisions provided by ARTIMATION will be helpful to the ATM operators.