TRUSTWORTHY INTELLIGENT SYSTEM FOR REMOTE DIGITAL TOWER

Informations projet

TRUSTY

N° de convention de subvention: 101114838

DOI

10.3030/101114838

Date de signature de la CE 14 Juin 2023

Date de début 1 Septembre 2023

Date de fin 28 Février 2026

Financé au titre de

• Climate, Energy and Mobility

Coût total

€ 999 967,50

Contribution de l’UE

€ 999 967,50

Coordonné par

MALARDALENS UNIVERSITET
Sweden

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Other (3)

Ethical and legal report on the final project

Final report on ethical principles and legal premises for sharing and access to data, GDPR, etc.

PD - Requirement No. 2

Detailed information on the informed consent procedures regarding data processing, data protection, Data Protection Officer (DPO), etc.

H - Requirement No. 1

Procedures and criteria that will be used to identify/recruit research participants

Documents, reports (8)

Report on the validation plan (ERP)

Activities regarding the elaboration of the validation plan is the definition of a framework to meet the validation objectives.The report will be submitted in an iterative way i.e. M8, M12

Report on robustness and resilience MML with open-source models and data base (short version)

Open-source models and data base for robustness and resilience MML in the development of intelligence system in taxiway and runway monitoring.Short version of the deliverable which does not include any IPR that can be published or patented.

Report on ethical framework for handling personal data, and sharing and access to data within TRUSTY

Specification of legal premises following GDPR, i.e., Ethical Framework for handling personal data, and sharing and access

Project management plan (PMP)

Developing a project management plan describing the information rules and procedures

Final project results report

Report on the project results comparing projects’ objectives and maturity

Report on definition, specifications and SotA

Literature review on XAI support and Trustworthy AI in in RDTs

Report on the gap analysis including KPIs/KVIs and the development/technical work plan (ERP)

Identify the gaps including KPIs/KVIs and generate the Development/technical work plan, that is an exploratory research plan

Report on risk management plan

Develop a quality assurance plan including scientific research/technical management

Data Management Plan (1)

Final Data Management Plan (DMP)

Creation of a data management plan, where it will be described how data are collected, organized, managed, stored, secured, back- up, preserved, and where applicable, shared.

Publications

Peer reviewed articles (4)

Driving Fatigue Onset and Visual Attention: An Electroencephalography-Driven Analysis of Ocular Behavior in a Driving Simulation Task

Auteurs: Andrea Giorgi; Gianluca Borghini; Francesca Colaiuda; Stefano Menicocci; Vincenzo Ronca; Alessia Vozzi; Dario Rossi; Pietro Aricò; Rossella Capotorto; Simone Sportiello; Marco Petrelli; Carlo Polidori; Rodrigo Varga; Marteyn Van Gasteren; Fabio Babiloni; Gianluca Di Flumeri
Publié dans: Behavioral Sciences, 2024, ISSN 2076-328X
Éditeur: MDPI
DOI: 10.3390/BS14111090

The Presenter in the Browser: Design and Evaluation of Human Interactive Overlays with Web Content

Auteurs: Maxime Cordeil; Anais Servais; Guillaume Truong; Tim Dwyer; Dhaval Vyas; Christophe Hurter
Publié dans: Multimodal Technologies and Interaction, 2025, ISSN 2414-4088
Éditeur: MDPI
DOI: 10.3390/MTI9020010

Understanding the Unexplored: A Review on the Gap in Human Factors Characterization for Industry 5.0

Auteurs: Alessia Ricci; Vincenzo Ronca; Rossella Capotorto; Andrea Giorgi; Alessia Vozzi; Daniele Germano; Gianluca Borghini; Gianluca Di Flumeri; Fabio Babiloni; Pietro Aricò
Publié dans: Applied Sciences, 2025, ISSN 2076-3417
Éditeur: MDPI
DOI: 10.3390/APP15041822

Optimizing EEG Signal Integrity: A Comprehensive Guide to Ocular Artifact Correction

Auteurs: Ronca, Vincenzo; Capotorto, Rossella; Di Flumeri, Gianluca; Giorgi, Andrea; Vozzi, Alessia; Germano, Daniele; Virgilio, Valerio Di; Borghini, Gianluca; Cartocci, Giulia; Rossi, Dario; Inguscio, Bianca M. S.; Babiloni, Fabio; Aricò, Pietro
Publié dans: Bioengineering, 2024, ISSN 2306-5354
Éditeur: MDPI
DOI: 10.3390/BIOENGINEERING11101018

Conference proceedings (4)

Examining Decision-Making in Air Traffic Control: Enhancing Transparency and Decision Support Through Machine Learning, Explanation, and Visualization: A Case Study

Auteurs: Ahmed, Mobyen Uddin
Publié dans: 16th International Conference on Agents and Artificial Intelligence, Numéro Volume 2, 2024
Éditeur: SciTePress
DOI: 10.5220/0012471900003636

Research Issues and Challenges in the Computational Development of Trustworthy AI

Auteurs: Ahmed, Mobyen Uddin
Publié dans: IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET 2024), 2024
Éditeur: IEEE
DOI: 10.5281/zenodo.13837520

Role of Multi-modal Machine Learning, Explainable AI and Human-AI Teaming in Trusted Intelligent Systems for Remote Digital Towers

Auteurs: Mobyen U. Ahmed; Shaibal Barua; Shahina Begum; Waleed Jmoona; Ricky S.D. Cruze; Alexandre Veyrie; Sara Kebir; Christophe Hurter
Publié dans: Proceedings of the 2024 7th Artificial Intelligence and Cloud Computing Conference, 2024
Éditeur: ACM
DOI: 10.1145/3719384.3719389

Balancing Fairness: Unveiling the Potential of SMOTE-Driven Oversampling in AI Model Enhancement

Auteurs: Md Alamgir Kabir, Mobyen Uddin Ahmed, Shahina Begum, Shaibal Barua, Md Rakibul Islam
Publié dans: ICMLT '24: Proceedings of the 2024 9th International Conference on Machine Learning Technologi, 2024, ISBN 979-8-4007-1637-9
Éditeur: Association for Computing MachineryNew YorkNYUnited States
DOI: 10.1145/3674029.3674034

Other (1)

Research Issues and Challenges in the Computational Development of Trustworthy AI

Auteurs: Ahmed, Mobyen Uddin; Ahmed, Mobyen Uddin
Publié dans: 2024
Éditeur: IEEE
DOI: 10.5281/ZENODO.13895826