Dependable, Certifiable & Explainable Artificial Intelligence for Critical Systems

The DEEL Project involves academic and industrial partners the development of dependable, robust, explainable and certifiable artificial are intelligence technological bricks applied to critical systems.
Recent progress in Artificial Intelligence, especially in Machine Learning, has aroused unprecedented interest the technologies. Many industrial sectors are considering. This strong scientific obstacles. Machine learning, especially deep neural networks, can perform enough to consider critical applications as autonomous vehicles, predictive maintenance and medical diagnosis, but their theoretical properties. The scientific challenges make it difficult to meet industrial constraints required for general application as certification, qualification and explainability of algorithms. It is observations the DEEL Project emerged in September 2017.

Research teams in Quebec and France are currently working on development of dependable, robust and explainable artificial intelligence with the context of DEEL (DEpendable and Explainable Learning) project.

The DEEL project by Institute for Data Valorization (IVADO), the IRT Saint Exupéry, these Consortium for Research and Innovation in Aerospace in Quebec (CRIAQ), Artificial and Natural Intelligence Toulouse Institute (ANITI) and IID, Institute Intelligence and Data at Université Laval, in collaboration with numerous members.
Million of total Budget
IVADO, IRT Saint Exupéry, IID, CRIAQ and ANITI are organizing the 2nd edition of MobiliT.AI forum from 10 to 12 May 2021 in new interactive and 100% virtual format.

MobiliT.AI is international event bringing together community experts in Artificial Intelligence for critical systems in field of transport and mobility (aeronautics, automotive, rail, space, drones, etc.). These community made of academic, industrial researchers and tech companies, but in experts operational safety and in critical systems engineering.