Toward explicable AI applied to critical systems in the aerospace field

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Privacy By Design

Discover the DEEL-Québec project

The DEEL project, a collaboration between academic and industrial partners for the development of an interpretable, robust, secure and certifiable artificial intelligence technology applied to critical systems in the aerospace field .

Recent progress in Artificial Intelligence, especially in Machine Learning, has aroused unprecedented interest in these technologies. However, the integration of these approaches in various industrial fields is faced with several major challenges, primarily the explainability of these systems.

The DEEL project thus aims to improve the application of Machine Learning in order to respond to the complex problems of the aeronautical and space industries. These industries have high performance and security standards, thus AI techniques must be rendered robust, understandable, and offer a privacy guarantee so that they can obtain the certification necessary for their integration into critical systems.