MobiliT.AI 2024
IVADO, IRT Saint Exupéry, IID, CRIAQ and ANITI are organizing the 5th edition of the MobiliT.AI forum on May 28 and 29, 2024.
MobiliT.AI is an international event that brings together a community of experts in Artificial Intelligence for critical systems in the field of transport and mobility (aeronautics, automotive, rail, space, drones, etc.). This community is made of academic, industrial and tech researchers, as well as experts in operational safety and critical embedded systems engineering.
Tuesday, May 28
Theme: Reliability
Presentation of the RELIABILITY theme: Foutse Khomh (Polytechnique Montréal)
Keynote presentation: Gopal Ramchurn (University of Southampton)
Towards a valid external evaluation of artificial intelligence systems Technical presentation: Olawale Salaudeen (UIUC/Stanford University)
The IDEA of Us: Engineering AI systems aware of social problems Technical presentation: Amel Bennaceur (Open University UK)
Theme: Confidentiality
Presentation of the CONFIDENTIALITY theme: Marc-Olivier Killijan (Université du Québec à Montréal)
Privacy and Machine Learning: It's complicated Keynote presentation: Emiliano De Cristofaro (University of California, Riverside)
Trained Random Forests Completely Reveal your Dataset Technical presentation: Julien Ferry (Polytechnique Montréal)
DP-SGD without clipping: The Lipschitz neural network method Technical presentation: Louis Béthune (Apple)
Presentations by DEEL students: Zelma Aubin Birba (UQAM), Graph reconstruction from neighborhood data and partial edge knowledge. Sofiane Azogagh (UQAM), A toolbox based on homomorphic encryption for privacy-preserving machine learning.
Wednesday, May 29
Theme: Robustness
Theme presentation
Thematic presenter: Liam Paull, Université de Montréal Keynote: Tamara Broderick
Building robust machine learning systems with causal models Keynote: Dhanya Sridhar (Université de Montréal)
Presentations by DEEL students Kaustubh Mani (UdeM, Mila), Risk awareness for safer exploration Mahtab Sandhu (UdeM, Mila), Alignment of multimodal systems Samer B. Nashed (UdeM, Mila), Causal explanations for sequential decision making under uncertainty
Robustness panel Tamara Broderick (Massachusetts Institute of Technology) Dhanya Sridhar (Université de Montréal) Rahat Yasir (International Air Transport Association) Emmanuel Zhang, (CATHAY Pacific)
Theme 4: Explicability
Theme presentation
Thematic Presenter: Mario Marchand, Université Laval Keynote: Rich Caruana, Microsoft Research
Technical presentation Technical presenter: Lucas Mentch, University of Pittsburgh
Presentations by DEEL students Benjamin Djian (PolyMTL), Evaluating and quantifying bias in dnn classifiers using likelihood predictions Gabriel Laberge (Polytechnique Montréal), Addressing the xai mismatch problem with regional explanations Fanny Jourdan (IRT Saint Exupéry), TaCo: Targeted concept removal in output encodings for NLP via information theory and explicability
EXPLAINABILITY Panel Rich Caruana (Microsoft Research) Lucas Mentch (University of Pittsburgh) Ola Ahmad (Thales) François-Marie Lesaffre (ANITI)
Closing event
Emiliano De Cristofaro, Professor of Computer Science, University of California, Riverside
Tamara Broderick, Associate Professor, Massachusetts Institute of Technology
Rich Caruana, Senior Researcher, Microsoft Research
Sarvapali Gopal Ramchurn, Professor of Artificial Intelligence, University of Southampton
Foutse Khomh, Professor of Computer Science, Polytechnique Montréal
Marc-Olivier Killijian, Professor of Computer Science, Université du Québec à Montréal
Liam Paull, Professor of Computer Science, Université de Montréal
Mario Marchand, Professor of Computer Science, Université Laval
Olawale Salaudeen, PhD candidate in computer science, Stanford University
Lucas K. Mentch, Assistant Professor, University of Pittsburgh
Rahat Yasir, Head of Data Quality and Analysis, IATA
Bertrand Braunschweig, Scientific Coordinator
Dhanya Sridhar
Amel Bennaceur
Louis Béthune
Emmanuel Zhang
Julien Ferry
Laure Hugot-Derville
Ola Ahmad
François-Marie Lesaffre