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

Información del proyecto

FAITH

Identificador del acuerdo de subvención: 101135932

DOI

10.3030/101135932

Fecha de la firma de la CE 20 Octubre 2023

Fecha de inicio 1 Enero 2024

Fecha de finalización 31 Marzo 2028

Financiado con arreglo a

• Digital, Industry and Space

Coste total

€ 8 628 146,00

Aportación de la UE

€ 7 455 585,00

Coordinado por

IDRYMA TECHNOLOGIAS KAI EREVNAS
Greece

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

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).

Publicaciones

Conference proceedings (11)

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

Autores: Berti A.; Buongiorno R.; Carloni G.; Caudai C.; Conti F.; Del Corso G.; Germanese D.; Moroni D.; Pachetti E.; Pascali M. A.; Colantonio S.
Publicado en: 2024
Editor: Ital-IA 2023

Human Factors and Cybersecurity in NHS Virtual Wards

Autores: Theofanis Fotis, Kitty Kioskli, Haralambos Mouratidis
Publicado en: AHFE International, Human Factors in Cybersecurity, 2024
Editor: AHFE International
DOI: 10.54941/AHFE1004782

An AI Powered Learning Companion for Adaptive and Personalized STEM Education

Autores: Grammatikos NA, Anagnostopoulou E, Apostolou D, Mentzas G
Publicado en: 2024
Editor: 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

Autores: Paresh Rathod; Nineta Polemi; Martti Lehto; Kitty Kioskli; Jan Wessels; Ricardo Lugo
Publicado en: 2024
Editor: IEEE
DOI: 10.1109/EDUCON60312.2024.10578846

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

Autores: Asbjørn Følstad, Sølve Eidnes and Hilde Johanse
Publicado en: 2025
Editor: Zenodo
DOI: 10.5281/ZENODO.15104919

A Self-Organized Swarm Intelligence Solution for Healthcare ICT Security

Autores: Kitty Kioskli; Spyridon Papastergiou; Theo Fotis; Stefano Silvestri; Haralambos Mouratidis
Publicado en: AHFE International, 2024
Editor: AHFE Open Access
DOI: 10.54941/AHFE1004780

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

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

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

Autores: Kitty Kioskli, Antonios Ramfos, Steve Taylor, Leandros Maglaras, Ricardo Lugo
Publicado en: AHFE International, Human Factors in Design, Engineering, and Computing, Edición 159, 2025
Editor: AHFE International
DOI: 10.54941/AHFE1005635

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

Autores: Evangelia Anagnostopoulou, Nikolaos Antonios Grammatikos, Dimitris Apostolou, Gregoris Mentzas
Publicado en: Proceedings of the 13th Hellenic Conference on Artificial Intelligence, 2024
Editor: ACM
DOI: 10.1145/3688671.3688781

Towards a Human-Centric AI Trustworthiness Risk Management Framework

Autores: Kitty Kioskli, Laura Bishop, Nineta Polemi, Antonis Ramfos
Publicado en: AHFE International, Human Factors in Cybersecurity, 2024
Editor: AHFE International
DOI: 10.54941/AHFE1004766

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

Autores: Dimitris Koutras, Kitty Kioskli, Panayiotis Kotzanikolaou
Publicado en: AHFE International, Human Factors in Cybersecurity, 2024
Editor: AHFE International
DOI: 10.54941/AHFE1004779

Peer reviewed articles (9)

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

Autores: Eleni Seralidou, Kitty Kioskli, Theofanis Fotis, Nineta Polemi
Publicado en: Computers, Edición 14, 2025, ISSN 2073-431X
Editor: MDPI AG
DOI: 10.3390/COMPUTERS14070243

A Practical Human-Centric Risk Management (HRM) Methodology

Autores: Kioskli, Kitty; Seralidou, Eleni; Polemi, Nineta
Publicado en: Electronics, 2024, ISSN 2079-9292
Editor: 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

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

A Practical Human-Centric Risk Management (HRM) Methodology

Autores: Kitty Kioskli, Eleni Seralidou, Nineta Polemi
Publicado en: Electronics, Edición 14, 2025, ISSN 2079-9292
Editor: MDPI AG
DOI: 10.3390/ELECTRONICS14030486

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

Autores: Evangelos Karampotsis; Kitty Kioskli; Athina Tsirimpa; Georgios Dounias; Amalia Polydoropoulou
Publicado en: Natural Hazards, 2024, ISSN 1573-0840
Editor: SPRINGER
DOI: 10.1007/S11069-024-06759-Y

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

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

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

Autores: Nineta Polemi, Isabel Praça, Kitty Kioskli, Adrien Bécue
Publicado en: Frontiers in Big Data, Edición 7, 2024, ISSN 2624-909X
Editor: Frontiers Media SA
DOI: 10.3389/FDATA.2024.1381163

Journal of the Franklin Institute

Autores: Del Corso G.; Colantonio S.; Caudai C.
Publicado en: Journal of the Franklin Institute, 2025, ISSN 0016-0032
Editor: Journal of the Franklin Institute
DOI: 10.1016/J.JFRANKLIN.2025.107548

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

Autores: Evangelos Karampotsis, Kitty Kioskli, Athina Tsirimpa, Georgios Dounias, Amalia Polydoropoulou
Publicado en: Natural Hazards, Edición 120, 2024, ISSN 0921-030X
Editor: 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

Autores: Giuseppe Riccardo Leone, Andrea Carboni, Davide Moroni, and Sara Colantonio
Publicado en: 2024, ISSN 0926-4981
Editor: ERCIM NEWS

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

Autores: Nineta Polemi; Nineta Polemi; Isabel Praça; Kitty Kioskli; Kitty Kioskli; Adrien Bécue
Publicado en: Frontiers in Big Data, 2024, ISSN 2624-909X
Editor: Frontiers
DOI: 10.3389/FDATA.2024.1381163