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.

The morning began with the discovery of various posters and demonstrations highlighting the latest technological and scientific advances of the Confiance.ai program. Participants were also able to attend various scientific and industrial presentations, focusing on the impact of the adoption of trusted AI in industry, and the issues surrounding AI regulation. One session was devoted to international initiatives on trusted AI, with speakers from Australia, the UK, Quebec and Germany. Discussions also covered emerging technologies and methods for ensuring the robustness, transparency and ethics of AI systems.

Finally, the day concluded with a collective reflection on the future challenges of AI. While this technology is enjoying rapid growth, many challenges still lie ahead. To keep up to date with the scientific and technological advances of the Confiance.ai program, subscribe to our newsletter.

View presentations:

• Responsible AI, a key lever to bring confidence in AI – Anne Bouverot, Chair of the board of École Normale Supérieure (ENS) Co-founder, Fondation Abeona, Co-Chair of the French Government’s IA Commission
  Board Director at a number of technology and media companies
• International collaborations on trustworthy AI, Confiance IA: Trustworthy AI in Quebec – Marie-Pierre Habas-Gérard, Chief Executive Officer Confiance IA
• Deep dive on technologies and methods, ​Towards a methodology for synthetic data generation, domain gap characterization and mitigation – Amélie Bosca, Data scientist, Sopra Steria
• Safe AI at CARIAD – Peter Schlicht, Head of “Safe AI and AI Innovations”, CARIAD
• The future challenges of trustworthy AI, Challenge of understanding operational context of AI for trustworthiness – Gereon Weiss, Head of Department Automation Systems, Fraunhofer Institute for Cognitive Systems IKS
• The future challenges of trustworthy AI, AI’s carbon footprint is bigger than you think – Brigitte Jaumard, scientific director, Confiance IA
• The future challenge of trustworthy AI, AI safety: an engineering perspective – Foutse Khomh, Professor, Polytechnique Montréal CIFAR AI Chair, MILA
• The future challenges of trustworthy AI, The critical role of ai ethics in building trust and enhancing innovation – Enrico Panaï, AI Ethicist, Association of AI Ethicists and CEN CENELEC JTC21
• The future challenges of trustworthy AI, Responsible innovation (RI) prompts and practice cards – Dr Pepita Barnard, Research Fellow Responsible AI, RAI-UK, Horizon Research Institute, Computer Science, University of Nottingham, UK