Bandeau image

Seminars

Seminars

  • Next Seminar Sessions
  • Les séminaires DATAIA 2019
  • DATAIA seminars
  • "Ethical issues, law & novel applications of AI" seminars
Chapo
You will find here the programme of DATAIA Institute seminars.
Contenu
Ancre
Next Seminar Sessions
Corps de texte

30th September, 10:30 - 12:30 - Amphi Sophie Germain, Inria Saclay, Bât Alan Turing, Palaiseau (France)

Aapo Hyvärinen - Nonlinear independent component analysis: A principled framework for unsupervised deep learning

Unsupervised learning, in particular learning general nonlinear representations, is one of the deepest problems in machine learning. Estimating latent quantities in a generative model provides a principled framework, and has been successfully used in the linear case, e.g. with independent component analysis (ICA) and sparse coding. However, extending ICA to the nonlinear case has proven to be extremely difficult: A straight-forward extension is unidentifiable, i.e. it is not possible to recover those latent components that actually generated the data. Here, we show that this problem can be solved by using additional information either in the form of temporal structure or an additional, auxiliary variable. As a first approach, we formulate self-supervised learning schemes which are similar to those heuristically proposed in computer vision. Our main contribution is to provide a rigorous theoretical framework for such self-supervised algorithms, proving that they are able to solve the nonlinear ICA problem. We further show how a connection between nonlinear ICA and variational autoencoders (VAE): While ordinary VAE suffers from the lack of identifiability, conditioning by auxiliary variables leads to identifiability and provides another method for learning nonlinear ICA.

Biography

Aapo Hyvarinen studied undergraduate mathematics at the universities of Helsinki (Finland), Vienna (Austria), and Paris (France), and obtained a Ph.D. degree in Information Science at the Helsinki University of Technology in 1997.  After post-doctoral work at the Helsinki University of Technology, he moved to the University of Helsinki in 2003, where he was appointed Professor in 2008, at the Department of Computer Science. From 2016 to 2019, he was Professor at the Gatsby Computational Neuroscience Unit, University College London, UK.  Currently he is visiting DATAIA at INRIA-Saclay for a year.

Aapo Hyvarinen is the main author of the books "Independent Component Analysis" (2001) and "Natural Image Statistics" (2009), and author or coauthor of more than 200 scientific articles.  He is Action Editor at the Journal of Machine Learning Research and Neural Computation and Editorial Board Member in Foundations and Trends in Machine Learning. He has served as Contributing Faculty Member of Faculty of 1000 Prime. Google Scholar gives him approximately 40,000 citations. His current work concentrates on unsupervised machine learning and its applications to neuroscience.

Registration free but mandatory within the limit of available seats
For security reasons, no access to the conference room for unregistered participants

Register here

Ancre
Les séminaires DATAIA 2019
Corps de texte

Jeudi 9 mai 10h-12h00 - Amphi Sophie Germain, Inria Saclay, Bât Alan Turing, Palaiseau

Antonio Casilli - Les Poinçonneurs de l'IA : le Micro-Travail à l'heure des Plateformes Numériques

Malgré leur relative invisibilité, les plateformes numériques de micro-travail représentent le phénomène marquent de la dernière décennie. Services comme Amazon Mechanical Turk, Figure Eight ou Clickworker sont des espaces où les entreprises et les startups ‘entraînent’ ou testent leurs solutions d’intelligence artificielle en recrutant des myriades travailleurs qui réalisent des micro-tâches de transcription, reconnaissance visuelle ou étiquetage de vidéo en échange de rémunérations très faibles d’a peine quelques centimes d’euros. Les études existantes se sont principalement concentrées sur des plateformes anglophones. Notre enquête DiPLab (Digital Plateform Labor, née d’un partenariat entre Télécom Paristech, CNRS, FO, France stratégie et la MSH Paris Saclay) a visé pour la première fois l’écosystème du microtravail en France et dans les pays francophones d’Afrique. Les résultats dressent un tableau surprenant des évolutions du marché du travail à l’heure de l’automation.

 

Mercredi 20 mars 10h00 - 12h00, Amphi 5, CentraleSupélec, Gif-sur-Yvette

Marc-Antoine Dilhac - "Une IA éthique est-elle possible ? Perspective de la Déclaration de Montréal"

Marc-Antoine Dilhac de l’Universite de Montréal, porteur de la déclaration de Montréal sur l’IA responsable animera un séminaire DATAIA le mercredi 20 mars matin.

La décennie 2010 a vu apparaître un nouvel objet dans le champ de l’éthique appliquée : l’intelligence artificielle. Objet d’étude académique, l’IA comme technologie a donné naissance à un double, un objet social qui concentre les préoccupations des développeurs, des décideurs publics et des entreprises, mais aussi du public en général, citoyennes et citoyens : l’IA éthique. Souvent confondus, ces deux objets ne sont pas les mêmes et le questionnement éthique qui s’y rapporte varie. L’IA éthique est un produit industriel dont la définition, la standardisation et la régulation font l’objet d’une concurrence intense entre entreprises et organismes. L’émergence de cet objet social a aussi fait naître une classe d’experts, souvent étrangers aux domaines de l’IA et de l’éthique. Mais une IA éthique est-elle possible? Et quelle démarche éthique nous permet de saisir les enjeux que le déploiement de cet objet soulève? Pour y répondre, nous présenterons le processus délibératif dont est issue la Déclaration de Montréal pour un développement responsable de l’IA (2018).

 

Mercredi 20 février 2019 - Jérémy Mary - Online Advertising and Strategic Bidding

Criteo aims to serve personalized online display advertisements, at the root of the business model of many Internet companies, and is leader on this B2B market. The talk will present the technical and ethical challenges of online personalized ads, ranging from the data scale to the customers heterogeneity. The few regulated online advertising market made of auctions will be discussed, revisiting classical auction theory from the buyer point of view (as opposed to, the seller).We show that in the current state of the market which include personalized reserve prices, the best option for the buyer is to be strategic even in a second price option. How to fight information bubbles and user boredom within a recommender system will also be discussed.

Ancre
DATAIA seminars
Corps de texte

Stuart Russell - Provably Beneficial Artificial Intelligence 

Stuart Russell, Professor of Computer Science at UC Berkeley, inaugurated the series of seminars organized by the DATAIA Institute on Thursday, May 24, 2018.

Provably Beneficial Artificial Intelligence 

I will briefly survey recent and expected developments in AI and their implications. Beyond these, one must expect that AI capabilities will  eventually exceed those of humans across a range of real-world-decision making scenarios. Should this be a cause for concern, as Elon Musk, Stephen Hawking, and others have suggested? And, if so, what can we do about it?  While some in the mainstream AI community dismiss the issue, I will argue instead that a fundamental reorientation of the field is required. Instead of building systems that optimize arbitrary objectives, we need to learn how to build systems that will, in fact, be beneficial for us. I will show that it is useful to imbue systems with explicit uncertainty concerning the true objectives of the humans they are designed to help, as well as the ability to learn more about those objectives from observation of human behavior. 

Corps de texte

Corinne Gendron - L'IA, entre éthique et société 

The second seminar of the DATAIA Institute took place on Friday, November 16, 2018 at 16:00 at the Alan Turing Building in Palaiseau, animated by Corinne Gendron, holder of the Chair of Social Responsibility and Sustainable Development of the Université du Québec à Montréal, and Professor in the Strategy, Social and Environmental Responsibility Department of the School of Management Sciences, on the theme "AI, between ethics and society".

Avec la progression de l’utilisation des algorithmes dans une multitude de champs d’activité, des questions se confirment et des inquiétudes surgissent : opacité, conséquences imprévues, vide juridique, régulation hors de la loi… pourrons-nous garder le contrôle de notre propre création ? Comment s’assurer que cet outil qui paraît si puissant qu’on l’a gratifié du terme « intelligence » reste au service du bien collectif ? Au-delà des enjeux liés à leur technicité, un regard sociologique sur les algorithmes situe leur développement, leur utilisation et leur promotion dans une société traversée par des rapports sociaux qui mobilisent diverses idéologies. Penser l’éthique ou la responsabilité sociale des algorithmes suppose donc au préalable de saisir les logiques qui président à leur développement et les acteurs qui les portent. Quant à l’arrimage avec le bien commun, il sera tributaire du degré de régulation, de transparence et de contrôle qui viendront sceller un compromis avec les sceptiques et les opposants.

Ancre
"Ethical issues, law & novel applications of AI" seminars
Corps de texte

Within the framework of its Master "Artificial Intelligence & Advanced Visual Computing", the LIX, with the support of DATAIA, organizes every Tuesday from 2pm to 3:30pm seminars about "Ethical issues, law & novel applications of AI".

All the dates

  • October 2 - Toward Responsible and Safe AI, Nozha Boujemaa, Dr Inria, director of the DataIA institute (Data Sciences, Intelligence & Society) (room Sophie Germain).
  • October 16 - From artificial intelligence to computational ethics, Jean-Gabriel Ganascia, Sorbonne University, Lip6, Chairman of the COMETS (CNRS Ethical Committee) (room Sophie Germain)
  • October 23 - Facial recognition: from early methods to deep learning, Stéphane Gentric, Research unit manager, IDEMIA (room Gilles Kahn)
  • November 13 - Google's AI principles, Ludovic Peran, Google Paris (room Sophie Germain)
  • November 20 - Unsupervised Learning on Homogeneous Manifolds, Lie groups and Structured Matrices based on Information Geometry and Souriau Lie Group Thermodynamics, Frederic Barbaresco, THALES (room Sophie Germain)
  • November 27 - Law and ethics of autonomous robots, Nathalie NEVEJANS, Lecturer in Law, University of Artois (France) (room Gilles Kahn).
  • December 4 - Machine learning ojectives for individual fairness, Nicolas Usunier, Facebook (room Sophie Germain)
  • January 8 - AI@Inria (Research in Artificial Intelligence at Inria). Bertrand Braunschweig, directeur de coordination du programme national de recherche en intelligence artificielle 
  • January 15 - Use of personal data and ethics: Vision & challenges from the industry, Sarah Lannes, Research engineer, IDEMIA
  • January 22 - From data protection to data empowerment : how can humans keep the upper hand? Geoffrey DELCROIX, Direction des technologies et de l’innovation, CNIL
  • January 29 - Fighting blindness with bionic eyes, Vincent Bismuth, Pixium Vision.
  • February 12 - Kernel methods for genetics - Jean-Philippe Vert, Google Paris.
  • February 19 - Is ethics computable? - Milad Doueihi, philosopher specialist of digital sciences, Université Paris-Sorbonne
  • March 5 - Learning Prosthetics Design : Function, Shape, Style - François Faure, Anatoscope
  • March 12 - Gender issues in AI, chatbots & robots - Laurence Devillers, LIMSI & Paris-Sorbonne University
Corps de texte

If you want to communicate about your seminar here,

Send an email to com-dataia@inria.fr