MIAI-DAYS : Monday May 3rd


Accueil et introduction / Opening and introduction

Welcome to the
MIAI-DAYS!


Eric Gaussier - Professor of Computer Science at Univ. Grenoble Alpes & Director of MIAI@Grenoble Alpes. Eric Gaussier is a professor of computer science at the University of Grenoble Alpes. He holds a degree in Applied Mathematics from Ecole Centrale Paris and a thesis in Computer Science from the University of Paris 7. Coordinator of the MIAI project, he is the director of the MIAI@Grenoble Alpes Institute.

How we learn: Why brains learn better than any machine... for now

Guest lecture

Stanislas Dehaene - NeuroSpin, Collège de France. Professor Stanislas Dehaene holds the Chair of Experimental Cognitive Psychology at the Collége de France in Paris. He directs the NeuroSpin center in Saclay, south of Paris -- France's advanced neuroimaging research center. His research investigates the neural bases of human cognitive functions such as reading, calculation and language, with a particular interest for the differences between conscious and non-conscious processing, and for the impact of education on the brain. Prof. Dehaene is a member of six academies and a recipient of the Brain Prize (with G. Rizzolatti and T. Robbins, in 2014). He has written several books for the general public, including The Number Sense, Reading in the Brain, Consciousness and the Brain, and How we learn, which were translated into more than fifteen languages.

Summary : Following the lines of my recent book “How we learn”, I will discuss the similarities and differences between learning algorithms in brains and machines. I will present evidence that artificial neural networks partially match some of the perceptual pathways of the brain, but fail to capture the detailed symbolic machinery that allows humans, contrary to other primates, to develop sophisticated symbol systems for language and mathematics.

Fair, explainable and certifiable AI

Industrial perspectives

An Overview of Society & Responsible AI at FAIR


Levent Sagun - Research Scientist at FAIR

Virginie Do - CIFRE PHD student at FAIR (co-supervised by Antoine Bordes and Jamal Atif at Dauphine/Lamsade)

Nicolas Usunier is researcher at Facebook AI Research since 2015. He received his PhD in Machine Learning from Université Pierre et Marie Curie, in Paris, in 2006. He was an Associate Professor there until 2012, when he joined Université de Technologie de Compiègne, France, with a chair position from the CNRS-Higher Education Chairs program.

Some research on privacy-preserving learning from the Criteo AI


Since September 2019, Liva Ralaivola has been Director of AI Research at Criteo AI Lab, Criteo's Artificial Intelligence laboratory, which he joined in September 2018 as a part-time, sharing his activity between Criteo and Aix-Marseille Université (AMU), as professor in Computer Science. Before taking a leave from its academic position, he had been in charge of AI for AMU (2018) and he was a junior member of the Institut Universitaire de France (2016-2019).

Summury : This talk will give an overview of the research topic of privacy as studied and developed in the research group of the Criteo AI Lab. It will take a deeper dive into one research contribution that we recently worked on, on the Differentially-Private quality of the Sliced Wasserstein Distance.

Enseignements & Formations en IA

Présentation du pilier formation à MIAI


Jean-Louis Roch, Directeur Grenoble INP Ensimag, responsable du bureau formation MIAI, Membre du COMEX MIAI

Master international AI4OneHealth

Michel SEVE - Doyen de l'UFR de Pharmacie - Université Grenoble Alpes, Membre du bureau formation MIAI, Membre du COMEX MIAI

The Case for Adding AI Competences to Unesco's Definition of Digital Literacy

Colin De la Higuera -  Professor at Nantes University (France). He has been involved in a number of research themes, including algorithmics, formal language theory, pattern recognition.

His chief interest lies in grammatical inference, a field in which he has been the author of more than 50 reviewed research papers and a monograph, “Grammatical Inference: Learning Automata and Grammars”, published in 2010. More recently he has co-authored the book « Grammatical Inference for Computational Linguistics”.

He has been chairman of the International Community in Grammatical Inference (2002-2007), been the founding president of the SIF, the French Informatics Society and is currently a trustee of the Knowledge for All foundation and is working towards the usage of technology for an open dissemination of knowledge and education.

In 2017, based on the project Class’Code he contributed to launch in France, UNESCO has created a Chair in Technologies for the Training of Teachers by Open Educational Resources at University of Nantes, which he is now holding. In 2019 an Academic Chair on Open Education and Artificial Intelligence was created by Nantes University to support his work. Since 2020 he is Chief Equality Advocate at IRCAI.

Summury
: One of Unesco' key missions is Education. As such, work has been done not only on the impact of AI on education but on the dual question: how should we include AI into education? Are there AI skills that need to be included at an early stage into the curriculum for digital literacy? We will report on ongoing work in this direction.