Fostering Artificial Intelligence Trust for Humans towards the optimization of trustworthiness through large-scale pilots in critical domains

Informazioni relative al progetto

FAITH

ID dell’accordo di sovvenzione: 101135932

DOI

10.3030/101135932

Data della firma CE 20 Ottobre 2023

Data di avvio 1 Gennaio 2024

Data di completamento 31 Marzo 2028

Finanziato da

• Digital, Industry and Space

Costo totale

€ 8 628 146,00

Contributo UE

€ 7 455 585,00

Coordinato da

IDRYMA TECHNOLOGIAS KAI EREVNAS
Greece

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (5)

FAITH Methodological Framework and Requirements Analysis v1
Impact Realisation Roadmap

Report on initial plans for dissemination, communication and exploitation.

FAITH pilots requirements definition, mapping regulatory regimes and co-creation planning
Interim report on legal and ethical impact assessment

Interim report on legal and ethical impact assessment.

Dissemination and Communication plan v1

Plan for the dissemination of results including communication activities: a first version of this plan will be delivered within the first 6 months (D3.1) and then updated regularly with a complete plan.

Data Management Plan (2)

Data management plan v1

Data management plan (updated versions in M18 and M48).

Data Management Plan v2

Data management plan (updated versions in M18 and M48).

Pubblicazioni

Conference proceedings (11)

From Covid-19 detection to cancer grading: how medical-AI is boosting clinical diagnostics and may improve treatment

Autori: Berti A.; Buongiorno R.; Carloni G.; Caudai C.; Conti F.; Del Corso G.; Germanese D.; Moroni D.; Pachetti E.; Pascali M. A.; Colantonio S.
Pubblicato in: 2024
Editore: Ital-IA 2023

Human Factors and Cybersecurity in NHS Virtual Wards

Autori: Theofanis Fotis, Kitty Kioskli, Haralambos Mouratidis
Pubblicato in: AHFE International, Human Factors in Cybersecurity, 2024
Editore: AHFE International
DOI: 10.54941/AHFE1004782

An AI Powered Learning Companion for Adaptive and Personalized STEM Education

Autori: Grammatikos NA, Anagnostopoulou E, Apostolou D, Mentzas G
Pubblicato in: 2024
Editore: CONVERSATIONS 2024
DOI: 10.1007/9783031880452_6

Leveraging the European Cybersecurity Skills Framework(ECSF) in EU Innovation Projects: Workforce Development Through Skilling, Upskilling, and Reskilling

Autori: Paresh Rathod; Nineta Polemi; Martti Lehto; Kitty Kioskli; Jan Wessels; Ricardo Lugo
Pubblicato in: 2024
Editore: IEEE
DOI: 10.1109/EDUCON60312.2024.10578846

Explanations for Trustworthy AI in Critical Infrastructure: A Case from Wastewater Treatment in Norway

Autori: Asbjørn Følstad, Sølve Eidnes and Hilde Johanse
Pubblicato in: 2025
Editore: Zenodo
DOI: 10.5281/ZENODO.15104919

A Self-Organized Swarm Intelligence Solution for Healthcare ICT Security

Autori: Kitty Kioskli; Spyridon Papastergiou; Theo Fotis; Stefano Silvestri; Haralambos Mouratidis
Pubblicato in: AHFE International, 2024
Editore: AHFE Open Access
DOI: 10.54941/AHFE1004780

Enhancing Cybersecurity Training Efficacy: A Comprehensive Analysis of Gamified Learning, Behavioral Strategies and Digital Twins

Autori: Yagmur Yigit, Kitty Kioskli, Laura Bishop, Nestoras Chouliaras, Leandros Maglaras, Helge Janicke
Pubblicato in: 2024 IEEE 25th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2024
Editore: IEEE
DOI: 10.1109/WOWMOM60985.2024.00016

Optimizing AI System Security: An Ecosystem Recommendation to Socio-Technical Risk Management

Autori: Kitty Kioskli, Antonios Ramfos, Steve Taylor, Leandros Maglaras, Ricardo Lugo
Pubblicato in: AHFE International, Human Factors in Design, Engineering, and Computing, Numero 159, 2025
Editore: AHFE International
DOI: 10.54941/AHFE1005635

Trustworthy AI in education: A Roadmap for Ethical and Effective Implementation

Autori: Evangelia Anagnostopoulou, Nikolaos Antonios Grammatikos, Dimitris Apostolou, Gregoris Mentzas
Pubblicato in: Proceedings of the 13th Hellenic Conference on Artificial Intelligence, 2024
Editore: ACM
DOI: 10.1145/3688671.3688781

Towards a Human-Centric AI Trustworthiness Risk Management Framework

Autori: Kitty Kioskli, Laura Bishop, Nineta Polemi, Antonis Ramfos
Pubblicato in: AHFE International, Human Factors in Cybersecurity, 2024
Editore: AHFE International
DOI: 10.54941/AHFE1004766

The human factor impact on a Supply Chain Tracking Service through a Risk Assessment Methodology

Autori: Dimitris Koutras, Kitty Kioskli, Panayiotis Kotzanikolaou
Pubblicato in: AHFE International, Human Factors in Cybersecurity, 2024
Editore: AHFE International
DOI: 10.54941/AHFE1004779

Peer reviewed articles (9)

AI_TAF: A Human-Centric Trustworthiness Risk Assessment Framework for AI Systems

Autori: Eleni Seralidou, Kitty Kioskli, Theofanis Fotis, Nineta Polemi
Pubblicato in: Computers, Numero 14, 2025, ISSN 2073-431X
Editore: MDPI AG
DOI: 10.3390/COMPUTERS14070243

A Practical Human-Centric Risk Management (HRM) Methodology

Autori: Kioskli, Kitty; Seralidou, Eleni; Polemi, Nineta
Pubblicato in: Electronics, 2024, ISSN 2079-9292
Editore: MDPI
DOI: 10.20944/PREPRINTS202412.0255.V1

A risk and conformity assessment framework to ensure security and resilience of healthcare systems and medical supply chain

Autori: Kioski, kitty; Grigoriou, Elisavet; Islam, Shareeful; Yiorkas, Andrianos M; Christofi, Loizos; Mouratidis, Haralambos
Pubblicato in: International Journal of Information Security, 2025, ISSN 1615-5270
Editore: International Journal of Information Security
DOI: 10.1007/S10207-025-01009-Z

A Practical Human-Centric Risk Management (HRM) Methodology

Autori: Kitty Kioskli, Eleni Seralidou, Nineta Polemi
Pubblicato in: Electronics, Numero 14, 2025, ISSN 2079-9292
Editore: MDPI AG
DOI: 10.3390/ELECTRONICS14030486

Understanding evacuation behavior for effective disaster preparedness: a hybrid machine learning approach

Autori: Evangelos Karampotsis; Kitty Kioskli; Athina Tsirimpa; Georgios Dounias; Amalia Polydoropoulou
Pubblicato in: Natural Hazards, 2024, ISSN 1573-0840
Editore: SPRINGER
DOI: 10.1007/S11069-024-06759-Y

Synthetic data generation methods in healthcare: A review on open-source tools and methods

Autori: Vasileios C. Pezoulas; Dimitrios I. Zaridis; Eugenia Mylona; Christos Androutsos; Kosmas Apostolidis; Nikolaos S. Tachos; Dimitrios I. Fotiadis
Pubblicato in: Computational and Structural Biotechnology Journal, 2024, ISSN 2001-0370
Editore: ELSEVIER
DOI: 10.1016/J.CSBJ.2024.07.005

Challenges and efforts in managing AI trustworthiness risks: a state of knowledge

Autori: Nineta Polemi, Isabel Praça, Kitty Kioskli, Adrien Bécue
Pubblicato in: Frontiers in Big Data, Numero 7, 2024, ISSN 2624-909X
Editore: Frontiers Media SA
DOI: 10.3389/FDATA.2024.1381163

Journal of the Franklin Institute

Autori: Del Corso G.; Colantonio S.; Caudai C.
Pubblicato in: Journal of the Franklin Institute, 2025, ISSN 0016-0032
Editore: Journal of the Franklin Institute
DOI: 10.1016/J.JFRANKLIN.2025.107548

Understanding evacuation behavior for effective disaster preparedness: a hybrid machine learning approach

Autori: Evangelos Karampotsis, Kitty Kioskli, Athina Tsirimpa, Georgios Dounias, Amalia Polydoropoulou
Pubblicato in: Natural Hazards, Numero 120, 2024, ISSN 0921-030X
Editore: Springer Science and Business Media LLC
DOI: 10.1007/S11069-024-06759-Y

Other (2)

Transforming Public Transport Through Responsible AI: Insight from the FAITH Project

Autori: Giuseppe Riccardo Leone, Andrea Carboni, Davide Moroni, and Sara Colantonio
Pubblicato in: 2024, ISSN 0926-4981
Editore: ERCIM NEWS

Challenges and efforts in managing AI trustworthiness risks: a state of knowledge

Autori: Nineta Polemi; Nineta Polemi; Isabel Praça; Kitty Kioskli; Kitty Kioskli; Adrien Bécue
Pubblicato in: Frontiers in Big Data, 2024, ISSN 2624-909X
Editore: Frontiers
DOI: 10.3389/FDATA.2024.1381163