Artificial intelligence (AI) is transforming the way we work and live. Organizations are harnessing the remarkable power of AI to improve data-driven forecasting, optimize products and services, increase innovation, improve productivity and efficiency, and reduce costs. However, the adoption of AI raises concerns about certain risks and challenges, which generates discussions on the current use of AI: how to ensure that AI is truly trustworthy.
To drive AI adoption, people need to be confident that AI is being developed and used in a responsible and trustworthy manner. The objective of the trustworthy AI day is to exchange results, experiences, and ideas on how to design and build tools for evaluating trustworthiness in AI systems.
Confiance.ai, Confiance IA and their industrial/academic partners are delighted to jointly organize a day on trustworthy artificial intelligence. The themes of this day mainly concern the technological and regulatory aspects of trustworthy artificial intelligence. The objective is to allow the participants of this day to meet the members and partners of Confiance.ai et Confiance IA and thus to promote exchanges and collaboration between these two organizations and representatives of various other institutions or industries.
We are seeking communications on the technological or regulatory aspects of trusted artificial intelligence, i.e., aspects of sustainable, ethical, and responsible, safe and secure artificial intelligence.
People interested in trustworthy artificial intelligence are cordially invited to these Days. We would like to request presentations in the form of conferences, but also in the form of showcases/posters relating to the technological aspects of trusted artificial intelligence. The languages of the Days will be French and English.
The day will take place at the École Polytechnique de Montréal. Here is a preliminary program (still incomplete):
Juliette Mattioli, Thales Group, Senior Expert in AI & Segment Leader on Hybrid AI and on AI Engineering
The « Thales TrUE AI strategy » for trustworthy and responsible AI.
Peter Lewis, Canada Research Chair in Trustworthy Artificial Intelligence, Ontario Tech University
Perspectives and Opportunities in Trustworthy AI
Julien Crowe, Senior Director & Head of ML Engineering, Bank National of Canada
Building trustworthy AI at the National Bank of Canada
Luc Sirois, Chief Innovator of Quebec, Director General of the Quebec Innovation Council
Upcoming title
Pierre Bilodeau, Interim Vice-President, Standards and International Relations , Standard Council of Canada
Upcoming title
Sébastian Hallensleben (VDE), President of JTC21 (AI) of CEN-CENELEC (Joint Technical Committee, responsible for future standards in the service of the European AI Act)
Upcoming title
Two sessions: Call for communications: title & extended abstract
Round table on trusted artificial intelligence, moderated by Marie-Pierre Habas-Gerard, General Director of Confiance IA
Challenges on Trustworthy Artificial Intelligence from Forthcoming Regulations
Speakers of the roundtable will bring a variety of perspectives: industry, legal, norm, academic.
Exhibition space to present and discuss industrial and academic projects in trustworthy artificial intelligence.
Reception (wine and cheese)
Workshop will be held at École Polytechnique de Montréal, Amphitheatre Bernard Lamarre Gallerie Roland, on the Campus of the Université de Montréal.
Organizers
Bertrand Braunschweig, confiance.ai, System X
bertrand.braunschweig@ext.irt-systemx.fr
Brigitte Jaumard, Confiance AI
Brigitte.jaumard@confianceIA.ca
Foutse Khomh, Polytechnique de Montréal
foutse.khomh@polymtl.ca
Juliette Mattioli, Thales
juliette.mattioli@thalesgroup.com
Who are we?
confiance.ai is a unique French community dedicated to the design and industrialization of trustworthy critical systems based on artificial intelligence. 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 industrialization 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.
Confiance IA is a Quebec industrial research consortium working to develop sustainable, ethical, safe and responsible artificial intelligence. Confiance IA brings together private and public actors to co-develop methods and tools to generate concrete solutions to the challenges linked to the industrialization of AI.
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