Published April 22, 2024 | Version 1.0
Methodological guideline Open

Methodological Guideline and Evaluation tools for robust artificial intelligence

Description

In this document, we present the work that has been done during the second year of the Confiance.ai program on the methods and tools related to robustness of artificial intelligence models and their applications to real industrial problems proposed by the program industrial partners.
The following document details the methodological progress and numerical results obtained in 6 research and development topics that are strongly interconnected. As an introduction we propose to the reader a short overview of each section.

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Trustworthy Attributes
Robustness
Reliability
Engineering roles
ML-Algorithm Engineer
Use cases
Time series
Vision
Visual Inspection
Functional Set
Robustness
Model Component Life Cycle