MBSE to Support Engineering of Trustworthy AI-Based Critical Systems

Afef Awadid, Boris Robert, Benoît Langlois

2024

Abstract

Because of the multidisciplinary nature of the engineering of a critical system and the inherent uncertainties and risks involved by Artificial Intelligence (AI), the overall engineering lifecycle of an AI-based critical system requires the support of sound processes, methods, and tools. To tackle this issue, the Confiance.ai research program intends to provide a methodological end-to-end engineering approach and a set of relevant tools. Against this background, an MBSE approach is proposed to establish the methodological guidelines and to structure a tooled workbench consistently. In this approach, the system of interest is referred to as the "Trustworthiness Environment" (i.e. the Confiance.ai workbench). The approach is an adaptation of the Arcadia method and hence built around four perspectives: Operational Analysis (the engineering methods and processes: the operational need around the Trustworthiness Environment), System Analysis (the functions of the Trustworthiness Environment), Logical Architecture and Physical Architecture (abstract and concrete resources of the Trustworthiness Environment). Given the current progress of the Confiance.ai program, this paper focuses particularly on the Operational Analysis, leading to the modeling of engineering activities and processes. The approach is illustrated with an example of a machine learning model robustness evaluation process.

Paper Citation

in Harvard Style

Awadid A., Robert B. and Langlois B. (2024). MBSE to Support Engineering of Trustworthy AI-Based Critical Systems. In Proceedings of the 12th International Conference on Model-Based Software and Systems Engineering - Volume 1: MODELSWARD; ISBN 978-989-758-682-8, SciTePress, pages 280-287. DOI: 10.5220/0012463600003645

in Bibtex Style

@conference{modelsward24,
author={Afef Awadid and Boris Robert and Benoît Langlois},
title={MBSE to Support Engineering of Trustworthy AI-Based Critical Systems},
booktitle={Proceedings of the 12th International Conference on Model-Based Software and Systems Engineering - Volume 1: MODELSWARD},
year={2024},
pages={280-287},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012463600003645},
isbn={978-989-758-682-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Model-Based Software and Systems Engineering - Volume 1: MODELSWARD
TI - MBSE to Support Engineering of Trustworthy AI-Based Critical Systems
SN - 978-989-758-682-8
AU - Awadid A.
AU - Robert B.
AU - Langlois B.
PY - 2024
SP - 280
EP - 287
DO - 10.5220/0012463600003645
PB - SciTePress