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TRANSPARENT ARTIFICIAL INTELLIGENCE AND AUTOMATION TO AIR TRAFFIC MANAGEMENT SYSTEMS

Deliverables

Report on the Development plan based on ATM tasks with supporting AI

The Development plan based on ATM tasks with supporting AI

Report on risk management plan

Main objective of this task is to develop a quality assurance plan

Validation Plan

Validation Plan of the maturity assessment of ARTIMATION

Communication, Dissemination and exploitation plan

Dissemination to a wider audience will take several forms, which will be represented in the Dissemination/Communication Plan that will be created during the first months of the project and review in all the consortium meetings in order to have it properly updated.

Report on State of Art - AI support in ATM

State of Art study in AI support in ATM field

Project Management Plan

Project coordination and management Scientific management

Ethical and Legal report

A report on Ethical and Legal issues

Intermediate Dissemination Report

Ongoing Dissemination Report

Data management Plan

Data management collection and operation definition

Publications

A Survey on Artificial Intelligence (AI) and eXplainable AI in Air Traffic Management: Current Trends and Development with Future Research Trajectory

Author(s): Degas A, Islam MR, Hurter C, Barua S, Rahman H, Poudel M, Ruscio D, Ahmed MU, Begum S, Rahman MA, Bonelli S, Cartocci G, Di Flumeri G, Borghini G, Babiloni F, Aricó P.
Published in: Applied Sciences, 2022, ISSN 2076-3417
Publisher: MDPI
DOI: 10.3390/app12031295

A Systematic Review of Explainable Artificial Intelligence in Terms of Different Application Domains and Tasks

Author(s): Islam, M.R.; Ahmed, M.U.; Barua, S.; Begum, S.
Published in: Applied Sciences, 2022, ISSN 2076-3417
Publisher: MDPI
DOI: 10.3390/app12031353

Toward a more transparent and explainable conflict resolution algorithm for air traffic controllers

Author(s): Christophe Hurter , Augustin Degas , Arnaud Guibert , Nicolas Durand , Mir Riyanul Islam, Shaibal Barua, Hamidur Rahman, Daniele Ruscio , Mobyen Uddin Ahmed, Shahina Begum, Stefano Bonelli , Giulia Cartocci , Gianluca Di Flumeri , Gianluca Borghini , Fabio Babiloni , Pietro Aricò
Published in: Conference of the European Association for Aviation Psychology (EAAP22), 23521457, 2022, ISSN 2352-1457
Publisher: Elsevier
DOI: 10.5281/zenodo.7148652

Transparent Artificial intelligence and Automation to Air Traffic Management Systems: Conflict Detection and Resolution

Author(s): Christophe,Hurter; Degas, Augustin; Islam, Mir Riyanul; Barua, Shaibal; Rahman, Hamidur; Poudel, Minesh; Ruscio, Daniele; Ahmed, Mobyen Uddin; Begum, Shahina; Rahman, Md Aquif; Bonelli, Stefano; Cartocci, Giulia; Di Flumeri, Gianluca; Borghini, Gianluca; Aricó, Pietro; Babiloni, Fabio
Published in: Poster made for ICCAS 2022, explaining the work done to explain an AI dealing with Conflict Detection & Avoidance (CD&R) in Air Traffic Management, 2022
Publisher: ICCAS
DOI: 10.5281/zenodo.7149224

When a CBR in Hand is Better than Twins in the Bush

Author(s): Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, Mir Riyanul Islam, Rosina O Weber
Published in: Fourth Workshop on XCBR: Case-Based Reasoning for the Explanation of Intelligent Systems at ICCBR-2022, 2022
Publisher: CEUR-WS.org
DOI: 10.5281/zenodo.7022471

Datasets

Neurometrics data

Author(s): Aricò Pietro; Cartocci Giulia; Babiloni Fabio
Published in: Zenodo

Classification of Artificial Intelligence and eXplainable Artificial Intelligence publications in Air Traffic Management

Author(s): Degas, Augustin; Islam, Mir Riyanul; Hurter, Christophe; Barua, Shaibal; Rahman, Hamidur; Poudel, Minesh; Ruscio, Daniele; Ahmed, Mobyen Uddin; Begum, Shahina; Rahman, Md Aquif; Bonelli, Stefano; Cartocci, Giulia; Di Flumeri, Gianluca; Borghini, Gianluca; Aricó, Pietro; Babiloni, Fabio
Published in: Zenodo