Confiance.ai
the French technological research programme on trustworthy AI
Confiance.ai aims to help industrials integrate trustworthy AI in their critical systems thanks to an environment built with methods and tools that can be integrated in any engineering workshop.
To this end, Confiance.ai lifts the barriers associated with the industrialisation of AI, such as the building of AI components with a controlled level of trust, the building of data and / or knowledge to increase trustworthy learning, or even interactions generating trust between the user and the AI-based system.
Creating an environment
to integrate trustworthy AI into critical systems
Both modular and interoperable, the environment of trust will offer a set of methods and tools that can be integrated in any partner engineering workshop.
Once needs and specifications have been collected, this environment will enrich engineering workshops as seamlessly as possible, without changing them.
The environment of trust will also offer a set of design guides which will be available to users, whatever their given role, to lead them through each step of the creation process of a system based on trustworthy AI.
Confiance.ai
in figures
programme
large industrial groups
research centres
thematic projects
FTE involved over 4 years
budget
Paris-Saclay & Toulouse project platform
project partners
Ecosystem
of confiance
Large groups
Research centers / Universities
Standards / norms
Ecosystem
Start-up / PME
Supports
Dernières Actualités
de confiance
Look back at Confiance.ai Day 2024, the must-attend event for trustworthy AI
Confiance.ai Day, the must-attend event on trustworthy AI, was held on March 7, 2024 at the Direction Générale des Entreprises (DGE). For the 360 participants in attendance, it was a unique opportunity to meet the AI engineering and scientific communities and discover the methods and tools deployed by the Confiance.ai collective. Lire plus
Our contribution in support of future European AI regulation
Home > News > Confiance.ai produces technologies and methodologies that can be used to help companies meet the requirements of future ... Lire plus
The design of robust AI algorithms and applications for industrial use from Confiance.ai
Home > News > In our article "8 scientific challenges on the global approach for AI components with controlled trust", we listed a ... Lire plus