Transparent
Artificial intelligence and
Automation to Air Traffic Management
Systems
ARTIMATION'S Objectives
Data-driven and immersive explanations
To help ATCOs understanding the AI Outcome
Transparent AI Models
To develop ATCOs’ acceptability in ATM systems to ensure safe and reliable decision support
User-centric Design
To place the ATCOs at the center of the AI Data Processing decisions.
ARTIMATION'S News and events
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Project start /
Jan 2021
Project end /
Dec 2022
First part
AI Algorithms: SoA review for ATM requirements
From May 2021
Second part
AI and Explainability implementation to ATM tasks
From September 2021
Third part
Concepts Validation and XAI Visualisation
From July 2022
Fourth part
Guidelines and Training indications
From September 2022
ARTIMATION'S Consortium

Mälardalen University
Sweden

Deep Blue
Italy

École nationale
de l’aviation civile
France

Sapienza University
Italy


