Since its emergence in the 1950s, artificial intelligence (AI) has been growing rapidly, accentuated by the development of available computing power and the Internet in the 2000s. However, despite its many successes, AI can still be a source of concern and has many challenges to face, both on the industry side and on the user side, in order to be accepted by all. Among these challenges, there are the locks related to energy, security and confidentiality but also to the trust of its users.
In this article, Fabien Tschirhart (research engineer, IRT SystemX) and Bertrand Braunschweig (scientific coordinator of the Confiance.ai program) look at the issue of AI adoption in critical systems.
The SAM consortium (Sécurité & Acceptabilité de la Mobilité autonome – Security & Acceptability of autonomous Mobility), gathered around the PFA autonomous platform, and selected in 2019 by the government to lead a national experimental programme around the autonomous vehicle, completed four years of work by bringing together, on 28 and 29 November 2023, at the Séquoia…
In 2025, the institute's teams will continue shaping the future of society and industry around its three strategic pillars: Augmented engineering and trustworthy AI to drive the large-scale adoption of AI across industries. Industrial cybersecurity for a reliable and resilient digital world. Digital twins for a sustainable and resilient industry. https://www.youtube.com/watch?v=vK7_T1wD-c8&t=44s
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 AI in industry. France holds a global leadership…