On February 15, our CEO of Confiance IA had the pleasure of presenting the vision and mission of the industrial consortium Confiance IA during the 3rd edition of Forum IN, organized by Laval Innov.
On February 15, our CEO of Confiance IA had the pleasure of presenting the vision and mission of the industrial consortium Confiance IA during the 3rd edition of Forum IN, organized by Laval Innov. In the field of Artificial Intelligence, Canada’s and particularly Québec’s heritage and pioneering spirit are well-established. The past 15 years have been marked by notable advancements, innovations, and global recognition of our expertise in fundamental and applied research. Meanwhile, the industry’s needs are growing, as the absolute necessity to create economic value through AI is here and now. The necessity of using the existing heritage in tools, methods, and open source by combining them with the best industrial, technical, and human expertise ensures better operationalization of AI for end users. However, bringing AI into production on par with any standard technological application remains a societal challenge.
So, how can we facilitate the operationalization of AI-based solutions? How can we be pragmatic and see the importance of an assumed and applied innovation cycle for general use cases? And why not adopt a more federative, shared approach and create tools and methods for industries to qualify and quantify the qualities of robustness, security, sustainability, social responsibility, and ethics?
During this essential meeting for Québec businesses and the ecosystem, Marie-Pierre Habas-Gerard discussed:
- The disruptive positioning of Confiance IA for trustworthy AI serving industries in natural and relevant collaboration with players in the Québec ecosystem;
- The necessity of bringing together different industries around generic use cases by adopting a shorter innovation cycle that leverages existing R&D heritage;
- How to have a pre-competitive methods and tools approach serving industries.
The importance now is to accelerate businesses in using LLMs, understanding the challenges in terms of compliance with regulatory frameworks that are already at our doorstep, being able to measure why an AI embedded in a drone is robust and secure and why a predictive AI is not ethical but can become so. The link with regulatory frameworks must be close but not constraining, and to do so, the game is played now.
Feel free to contact us to learn more and to share your ideas or projects in Artificial Intelligence.
Thanks to Forum IN for the invitation and thanks to the various speakers and the audience who enriched the debate.
