Transparent
Artificial intelligence and

Automation to Air Traffic Management

Systems

Objectives
Data-driven and immersive explanation

Data-driven and immersive explanations

To help ATCOs understanding the AI Outcome

Transparent AI models

Transparent AI Models

To develop ATCOs’ acceptability in ATM systems to ensure safe and reliable decision support

User-centric Design

User-centric Design

To place the ATCOs at the center of the AI Data Processing decisions.

News and events

Project start /

Jan 2021

Project end /

Dec 2023

First part

AI Algorithms: SoA review for ATM requirements

From May 2021

Second part

AI and Explainability implementation to ATM tasks

From May 2021

Third part

Concepts Validation and XAI Visualisation

From May 2021

Fourth part

Guidelines and Training indications

From May 2021

Consortium
Mälarden University Logo

Mälardalen University

Sweden

Deepblue Logo

Deep Blue

Italy

ENAC Logo

École nationale
de l’aviation civile

France

Sapienza University logo

Sapienza University

Italy

Results

Results

To help ATCOs understanding the AI Outcome

Final events

Final events

To place the ATCOs at the center of the AI Data Processing decisions

Videos

Videos

To develop ATCOs’ acceptability in ATM systems to ensure safe and reliable decision support