Engineering Dependable AI Systems - Archive ouverte HAL
Conference Papers Year : 2022

Engineering Dependable AI Systems

Abstract

If AI algorithms are now pervasive in our daily life, they essentially deliver non-critical services, i.e., services which failures remain socially and economically acceptable. In order to introduce those algorithms in critical systems, new engineering practices must be defined to give a justified trust in the capability of the system to deliver the intended services. In this paper, we give an overview of the approach that we have put in place to reach this goal in the framework of the French Confiance.ai program. Based on the needs of the industrial partners of the program, we propose a model-based analysis framework capturing the two dimensions of the problem: the one related to the development and operation of the system and the one related to the trust in the system.
Fichier principal
Vignette du fichier
SoSE_2022_EC1_EC2_EC6.pdf (1.18 Mo) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

hal-03700300 , version 1 (22-06-2022)

Identifiers

  • HAL Id : hal-03700300 , version 1

Cite

Morayo Adedjouma, Christophe Alix, Loic Cantat, Eric Jenn, Juliette Mattioli, et al.. Engineering Dependable AI Systems. 17th Annual System of Systems Engineering Conference (SOSE), IEEE, Jun 2022, Rochester, United States. ⟨hal-03700300⟩
929 View
310 Download

Share

More