Design and Implementation of a Data Model for AI Trustworthiness Assessment in CCAM

Ruben Naranjo, Nerea Aranjuelo, Marcos Nieto, Itziar Urbieta, Javier Fernández, Itsaso Rodríguez-Moreno

2025

Abstract

Amidst the growing landscape of trustworthiness-related initiatives and works both in the academic community and from official EU groups, there is a lack of coordination in the nature of the concepts used in these works and their relationships. This lack of coordination generates confusion and hinders the advances in trustworthy AI systems. This confusion is particularly grave in the CCAM domain given nearly all functionalities related to vehicles are safety-critical applications and need to be perceived as trustworthy in order for them to become available to the general public. In this paper, we propose the use of a defined set of terms and their definitions, carefully selected from the existing reports, regulations, and academic papers; and construct an ontology-based data model that can assist any user in the comprehension of those terms and their relationship to one another. In addition, we implement this data model as a tool that guides users on the self-assessment of the trustworthiness of an AI system. We use a graph database that allows making queries and automating the assessment of any particular AI system. We demonstrate the latter with a practical use case that makes an automated trustworthiness assessment based on user-inputted data.

Paper Citation

in Harvard Style

Naranjo R., Aranjuelo N., Nieto M., Urbieta I., Fernández J. and Rodríguez-Moreno I. (2025). Design and Implementation of a Data Model for AI Trustworthiness Assessment in CCAM. In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-737-5, SciTePress, pages 461-471. DOI: 10.5220/0013153200003890

in Bibtex Style

@conference{icaart25,
author={Ruben Naranjo and Nerea Aranjuelo and Marcos Nieto and Itziar Urbieta and Javier Fernández and Itsaso Rodríguez-Moreno},
title={Design and Implementation of a Data Model for AI Trustworthiness Assessment in CCAM},
booktitle={Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2025},
pages={461-471},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013153200003890},
isbn={978-989-758-737-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Design and Implementation of a Data Model for AI Trustworthiness Assessment in CCAM
SN - 978-989-758-737-5
AU - Naranjo R.
AU - Aranjuelo N.
AU - Nieto M.
AU - Urbieta I.
AU - Fernández J.
AU - Rodríguez-Moreno I.
PY - 2025
SP - 461
EP - 471
DO - 10.5220/0013153200003890
PB - SciTePress