The Confiance.ai community fully engaged in the AI Action Summit!

by Julie Bernede | Feb 12, 2025 | Event, Top news

The Confiance.ai community fully engaged in the AI Action Summit! Home > News > Event The members of the Confiance.ai community participated in several events: February 3 – Confiance AI Meetings (RIAC) of the ACN (Alliance for Digital Trust): participation of Nicolas...

TADkit: a toolkit for anomaly detection of time series data

by Julie Bernede | Feb 12, 2025 | Top news

TADkit: a toolkit for anomaly detection of time series data Home > News > Julie Bernede How to create trustworthy timeseries data for the industry? Industrial systems generate vast amounts of data, creating a need for industries to identify technologies that help...

[Position paper] Without trust, AI will remain an industrial mirage

by Julie Bernede | Feb 5, 2025 | Top news

On the eve of the opening of the AI Action Summit, 20 French AI stakeholders join their voices in La Tribune to bring trustworthy AI to the forefront of the media scene. The issue of trust is underestimated, yet it is essential for enabling the large-scale adoption of...

Digital Factory Day: the place to discover Confiance.ai tools and methodologies

by Samanta | Dec 17, 2024 | Event, Top news

Digital Factory Day: the place to discover Confiance.ai tools and methodologies Home > News > Event The Confiance.ai collective organized the Digital Factory Day, an online event dedicated to disseminating Confiance.ai tools and methodologies for industrial and...

The future of Confiance.ai: sustainability and new horizons for trustworthy AI

by Samanta | Oct 2, 2024 | Top news

The future of Confiance.ai: sustainability and new horizons for trustworthy AI Home > News > Top news The Confiance.ai program, the cornerstone of France’s national strategy for artificial intelligence (AI), will officially come to an end at the end of September...

[Position paper] Safe and Trustworthy industrial AI for critical systems

by Julie Bernede | Sep 12, 2024 | Top news

The industrial and academic partners of the Confiance.ai program[1] have jointly developed an engineering methodology and software tools to improve the trustworthiness and safety of AI components and systems in critical applications. We bring our contribution to the...