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👉 Participez à une session de formation sur les nouveaux défis déontologiques à l’heure de l’intelligence artificielle. 

Vous êtes journaliste ou élève journaliste ? Cette formation gratuite est organisée en collaboration avec le CDJM et le CDJ (Belgique francophone), dans le cadre du projet Media Councils in the Digital Age.

Les thèmes abordés: 

• Existe-t-il une déontologie propre au journalisme numérique ?
• Quelles problématiques reviennent le plus souvent aux conseils de presse ?
• Quelles sont les bonnes pratiques en la matière, les questions indispensables à se poser avant de diffuser en ligne ?
• Comment l’intelligence artificielle interroge-t-elle le travail des journalistes et leur déontologie ?

Les intervenants : 

• Jean-Jacques Jespers, représentant de la société civile au sein du Conseil de déontologie journalistique de Belgique francophone et ex-président de l’instance (2018-2021), est professeur invité en déontologie de l’information et de la communication à l’Université libre de Bruxelles (ULB). Il a été journaliste à la RTBF et a enseigné le journalisme pendant 33 ans à l’Ecole universitaire de journalisme de Bruxelles.
• Gerald Holubowicz est journaliste spécialisé dans l’innovation éditoriale. Photojournaliste et web-documentariste primé, il a collaboré avec Libération, Condé Nast ou Les Échos. Entre autres activités, il édite aujourd’hui le site Journalism.design où il écrit sur l’avenir de la presse en ligne et enseigne dans différentes écoles de journalisme françaises.

Vous souhaitez plus d’informations pratiques ?  Contactez-nous 

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Programme

13:30 Opening

• Alain Fuchs, President of Université PSL
• Edouard Kaminsky, President of Université Paris Cité

13:45 The impact of AI on sciences

Moderator: Stéphanie Allassonnière

• Nicholas Ayache, Research Director Inria, member of Académie des Sciences, Scientific Director of 3IA Côte d’Azur
• Anne-Marie Lagrange, Research Director CNRS, astrophysicist Observatoire de Paris, member of Académie des Sciences
• Stéphane Mallat, Prof. Collège de France, member of Académie des Sciences
• Marie-France Mamzer, Professor of Ethics and Legal Medicine, Univ. Paris Cité

14:30 Innovation

Moderator: Jean-Baptiste Masson

• Lourdes de Agapito Vicente, Prof. UCL and co-founder of SYnthesia Technologies
• Philippe Aghion, Prof. College de France, INSEAD, and LSE
• Sriram Krishnan, General Partner at Andreessen Horowitz
• Marc Raibert, Executive director of The AI Institute and founder of Boston Dynamics
• Bernard-Louis Roques, General Partner, Truffle Capital

15:15 Future of AI

Moderator: Jean Ponce

• Francis Bach, Research Director Inria, member of Académie des Sciences
• Daniel Cremers, Director of the Munich Center for Machine Learning and Chair of Computer Vision and Artificial Intelligence at TU Munich, member of the Bavarian Academy of Sciences
• Michael Jordan, Research director at INRIA, member of the US National Academy of Sciences, and Foreign Member of the Royal Society
• Yann LeCun, Vice-President and Chief AI Scientist META AI, Prof. NYU, member of the US National Academy of Sciences, member of the Académie des Sciences, 2018 ACM Turing Award Laureate
• Cordelia Schmid, Research Director Inria, member of the German Leopoldina Academy of Sciences

16:00 Pause

16:30 Sovereignty

Moderator: Isabelle Ryl

• Antoine Bordes, Vice President Artificial Intelligence – Helsing
• Luc Julia, Scientific Director of Renault
• Xavier Lazarus, Co-founder and Managing Partner at ELAIA
• Cédric O, Board member Artefact, Co-founder Mistral AI, former Secretary of State for digital affairs
• Stéphanie Schaer, Interministerial Director of the Digital (DINUM)

17:15 Generative AI

Moderator: Jamal Atif

• Joelle Barral, Senior Director of Research & Engineering at Google DeepMind
• Anne Bouverot, Co-founder, Fondation Abeona “Championing Responsible AI”
• Laurent Daudet, Co-CEO and Co-Founder, LightOn
• Benoit Sagot, Research Director INRIA, Collège de France, opensquare
• Jean-Philippe Vert, Chief R&D Officer at Owkin and Co-founder at Bioptimus

18:00 Closing

18:15 Cocktail

Speakers

AGHION Philippe

Professor at the College de France, INSEAD, and LSE

Philippe Aghion is a Professor at the College de France, at INSEAD, and at the London School of Economics, and a fellow of the Econometric Society and of the American Academy of Arts and Sciences. His research focuses on the economics of innovation and growth. With Peter Howitt, he pioneered the so-called Schumpeterian Growth Theory which became a leading paradigm to analyze the interplay between growth, innovation, market structure, and firm dynamics. Much of this work is summarized in their joint books Endogenous Growth Theory (MIT Press, 1998) and The Economics of Growth (MIT Press, 2009), in his book with Rachel Griffith on Competition and Growth (MIT Press, 2006), in his survey “What Do We Learn from Schumpeterian Growth Theory” (joint with U. Akcigit and P. Howitt), and more recently in The Power of Creative Destruction (joint with C. Antonin and S. Bunel). In 2001, Philippe Aghion received the Yrjo Jahnsson Award of the best European economist under age 45, in 2009 he received the John Von Neumann Award, andin March 2020 he shared the BBVA “Frontier of Knowledge Award” with Peter Howitt for “developing an economic growth theory based on the innovation that emerges from the process of creative destruction”.

AYACHE Nicholas

Research Director Inria, member of Académie des Sciences, Scientific Director of 3IA Côte d’Azur

Nicholas Ayache is a research director at Inria, where he leads the EPIONE research team, dedicated to the digital patient and digital medicine. He is also the Scientific Director of the Interdisciplinary AI Institute 3IA Côte d’Azur, where he holds a research chair. His current research focuses on the introduction of AI algorithms to guide the prevention, diagnosis, prognosis and therapy of patients based on their medical images and all available data. N. Ayache is a member of the French Academy of Sciences and of the French Academy of Surgery. In 2013-2014 he was a visiting professor at the Collège de France, where he introduced a new course on the “personalized digital patient”. N. Ayache published over 400 highly cited scientific articles and a dozen of industrial patents, and co-founded seven high-tech companies. He has been a member of several strategic boards in France and abroad, including the strategic council of the new IHU RespirERA in Nice, dedicated to lung diseases.
Further information: http://www-sop.inria.fr/members/Nicholas.Ayache/ayache.html  
Publications: https://scholar.google.com/citations?user=29XL16UAAAAJ    

BACH Francis

Research Director Inria, member of Académie des Sciences, PR[AI]RIE Chair

Francis Bach is a researcher at Inria, leading since 2011 the machine learning team which is part of the Computer Science department at Ecole Normale Supérieure. He graduated from Ecole Polytechnique in 1997 and completed his Ph.D. in Computer Science at U.C. Berkeley in 2005, working with Professor Michael Jordan. He spent two years in the Mathematical Morphology group at Ecole des Mines de Paris, then he joined the computer vision project-team at Inria/Ecole Normale Supérieure from 2007 to 2010. Francis Bach is primarily interested in machine learning, and especially in sparse methods, kernel-based learning, neural networks, and large-scale optimization He obtained in 2009 a Starting Grant and in 2016 a Consolidator Grant from the European Research Council, and received the Inria young researcher prize in 2012, the ICML test-of-time award in 2014 and 2019, the NeurIPS test-of-time award in 2021, as well as the Lagrange prize in continuous optimization in 2018, and the Jean-Jacques Moreau prize in 2019. He was elected in 2020 at the French Academy of Sciences. In 2015, he was program co-chair of the International Conference in Machine learning (ICML), general chair in 2018, and president of its board between 2021 and 2023; he was co-editor-in-chief of the Journal of Machine Learning Research between 2018 and 2023.

BARRAL Joëlle

Senior Director of Research & Engineering at Google DeepMind

Joëlle Barral is a Senior Director of Research & Engineering at Google DeepMind (GDM). Based in Paris, she has a diverse portfolio of foundational research efforts, which includes theoretical and empirical aspects of frontier models as well as early-stage research in artificial intelligence and the life sciences. She is also in charge of GDM’s efforts in healthcare. She leads a team of researchers and engineers spread across Europe and North America. Joëlle Barral was previously software lead at Verily, Google’s sister life sciences company, and the head of Verily Surgical. She joined Verily in 2014 and was part of the team who started Verb Surgical, Verily’s joint venture with Johnson & Johnson’s Ethicon, pioneering a vision for the future of robotic surgery that leverages machine learning and digital tools to enhance the surgeon’s judgment, improve decision making, and positively impact clinical outcomes. Before joining Verily, she was with HeartVista, a spin-off from Stanford University, where she developed an MR software package for the comprehensive evaluation of ischemic and valvular heart diseases. Joëlle Barral has authored numerous patents on topics ranging from maternal health, digital pathology, surgical robotics, and medical imaging. She holds a B.S. degree in Math and Physics from Ecole Polytechnique, France, and M.S. and Ph.D. degrees in Electrical Engineering, in the field of high-resolution Magnetic Resonance Imaging, from Stanford University, where she was also a Simon Stertzer Biodesign Innovation Fellow. She is the 2019 recipient of the Pierre Faurre Prize.

BORDES Antoine

Vice President Artificial Intelligence – Helsing

Dr. Antoine Bordes is the VP AI at Helsing. He has a deep knowledge of AI R&D from his 9 years of experience building out the Fundamental AI Research (FAIR) laboratory of Meta, the last 3 years as FAIR’s co-managing director. Prior to joining Meta (then Facebook) in 2014, he was a research scientist at CNRS in France and a postdoctoral fellow in Yoshua Bengio’s lab at the University of Montreal. He received his Ph.D. in AI from Sorbonne University in Paris in 2010, with two awards for best Ph.D. from the French Association for Artificial Intelligence and from the French Armament Agency. He has published more than 60 papers cumulating more than 40,000 citations at the intersection of deep learning and natural language processing.

BOUVEROT Anne

Co-founder, Fondation Abeona “Championing Responsible AI”

Anne Bouverot spent most of her career in the technology sector and now advises a number of public and private technology companies. She is currently Chairperson of Cellnex, Europe’s leading operator of telecommunications infrastructure. She also chairs the Board of Ecole Normale Supérieure, France’s leading “grande école” in Science and Humanities. In 2018 she co-founded Fondation Abeona “Championing Responsible AI” on societal impacts of artificial intelligence. Notable programs include a visiting Chair on Social Justice and AI and an introductory MOOC already followed by more than 300 000 people. She spent the first 20 years of her career with Orange in a number of positions, then became Director General of the GSMA (Global Mobile Operators Association) and later CEO of Morpho (digital security and identity solutions). She is a graduate of Ecole Normale Supérieure in mathematics and holds a PhD in artificial intelligence.

CREMERS Daniel

Director of the Munich Center for Machine Learning, Chair of Computer Vision and Artificial Intelligence at TU Munich, member of the Bavarian Academy of Sciences

Daniel Cremers is Director of the Munich Center for Machine Learning and holds the Chair of Computer Vision and Artificial Intelligence at TU Munich.  After studying physics and mathematics, he received his doctorate in computer science in 2002. He has conducted research in Heidelberg, Mannheim, Rennes, Los Angeles, Princeton, Bonn, Cambridge, and Oxford. He has co-authored over 500 publications and is listed among the top 10 most influential roboticists of the last decade. He received numerous awards including the Gottfried-Wilhelm Leibniz Prize, the biggest award in German academia.  He has served as co-founder, advisor and business angel to several startups.

DAUDET Laurent

Co-CEO and Co-Founder, LightOn

Laurent Daudet is the Co-CEO at LightOn, a startup he co-founded in 2016. He has a key role in growing a cutting-edge team of 25, and drives the business roadmap while leading fundraising and key partnerships worldwide. Laurent is currently on full-time leave from his position as Professor of Physics at the Université Paris Cité, one of France’s leading universities. He has held various academic positions: including fellow of the Institut Universitaire de France, associate professor at Université Pierre et Marie Curie (now Sorbonne University), and visiting positions in London, Tokyo, Japan, and Stanford. Laurent has authored or co-authored more than 200 scientific publications, and has been a consultant to various small and large companies. He is a physics graduate from Ecole Normale Supérieure in Paris and holds a Ph.D. in Applied Mathematics from Marseille University. Recently, Laurent Daudet co-authored Dream Machine, the first graphic novel on Generative AI (Appupen / Daudet, French version released in 2023 by Editions Flammarion, English version to be released in 2024 by MIT Press).

DE AGAPITO VICENTE Lourdes

Professor of 3D Vision at the Department of Computer Science, University College London and co-founder of SYnthesia Technologies

Lourdes Agapito holds the position of Professor of 3D Vision at the Department of Computer Science, University College London (UCL). Her research in computer vision has consistently focused on the inference of 3D information from single images or videos. She received her BSc, MSc and PhD degrees from the Universidad Complutense de Madrid (Spain). In 1997 she joined the Robotics Research Group at the University of Oxford as an EU Marie Curie Fellow. In 2001 she was appointed Lecturer at Queen Mary University of London and held an ERC Starting Grant from 2008 to 2014. In 2013 she joined UCL and was promoted to full professor in 2015 where she now heads the Vision and Imaging Science Group. Lourdes has served as Program Chair for CVPR’16 and ICCV’23, General Chair for 3DV’21, serves regularly as Area Chair for the top Computer Vision conferences (CVPR, ICCV, ECCV) and has been keynote speaker at ICRA’17, ICLR’21 and 3DV’22. In 2017 she co-founded Synthesia, the London-based startup and leading AI Video Generation platform which has grown to 330+ employees, with offices across Europe and New York. Following the Series C investment round led by Accel in 2023 that brought its valuation to 1B$, Synthesia now serves more than 50,000 businesses, including almost half of the Fortune 100 companies

JORDAN Michael I.

Research director at INRIA, member of the US National Academy of Sciences, and Foreign Member of the Royal Society

Michael I. Jordan is a researcher at INRIA and Professor Emeritus at the University of California, Berkeley. His research interests bridge the computational, statistical, cognitive, biological and social sciences. Prof. Jordan is a member of the National Academy of Sciences, a member of the National Academy of Engineering, a member of the American Academy of Arts and Sciences, and a Foreign Member of the Royal Society. He was the inaugural winner of the World Laureates Association (WLA) Prize in 2022. He was a Plenary Lecturer at the International Congress of Mathematicians in 2018. He has received the Ulf Grenander Prize from the American Mathematical Society, the IEEE John von Neumann Medal, the IJCAI Research Excellence Award, the David E. Rumelhart Prize, and the ACM/AAAI Allen Newell Award. In 2016, Prof. Jordan was named the “most influential computer scientist” worldwide in an article in Science, based on rankings from the Semantic Scholar search engine.

JULIA Luc

Scientific Director of Renault

Dr. Luc JULIA, Chief Scientific Officer for Renault, was CTO and Senior Vice President of Innovation for Samsung Electronics, directed Siri at Apple, was Chief Technologist at Hewlett- Packard and cofounded a number of start-ups in the Silicon Valley. While conducting research at SRI International, he was involved in the creation of Nuance Communications, now the world leader in speech recognition. Recipient of Légion d’Honneur, the highest order of France, and member of its National Academy of Technologies, he holds degrees in Mathematics and Computer Science from the University Pierre et Marie Curie in Paris and earned a Ph.D. in Computer Science at the Ecole Nationale Supérieure des Télécommunications de Paris. He is the bestselling author of the book “There is no such thing as Artificial Intelligence”, holds dozens of patents and is recognized as one of the top 100 most influential French developers in the digital world.

KRISHNAN Sriram

General Partner at Andreessen Horowitz

Sriram Krishnan is a general partner at Andreessen Horowitz where he invests in crypto and currently heads up the UK offices of a16z crypto. He works closely with Farcaster, Story Protocol, Kindred. Prior to joining a16z, Sriram led product and engineering teams at X, Meta and Snap. Sriram started his career at Microsoft as a founding member of Windows Azure. He was also previously a personal investor in several prominent tech companies. Sriram writes actively at @sriramk on Twitter and at sriramk.com. He co-hosts “The Aarthi and Sriram Show”, a leading podcast on tech and business.

LAGRANGE Anne-Marie

Research Director CNRS, astrophysicist Observatoire de Paris, member of Académie des Sciences

Anne-Marie Lagrange is a Research Director at the French National Center for Scientific Research (CNRS) at the Laboratory for Space Studies and Instrumentation in Astrophysics (LESIA) at the Paris Observatory, and associate Professor at Paris Sciences et Lettres University. She is a member of the French Academy of Science, and earned the Irène Joliot-Curie prize for the Female Scientist of the Year in 2011.
She specialized in the field of extra solar planetary systems, with the aim to understand how such systems form and evolve, and to search for planets of various kinds, down to Earth twins. She uses various kinds of approaches and observing techniques, in particular spectroscopy, absolute astrometry and high contrast imaging, and the combination of these techniques, to search for extrasolar planets, and characterize their atmospheres, and to study their link with the dust disks in which they orbit. She was the scientific PI of the first adaptive optics instrument on the VLT, which allowed her team and her to make the first images of extrasolar planets, opening thus a new path in the field. She finally tries to estimate and compensate for the stellar activity, which is the ultimate barrier against detecting Earth twins using radial velocities, and is a necessary step before imaging such planets.

LAZARUS Xavier

Co-founder and Managing Partner at ELAIA

Xavier is co-founder and Managing Partner at Elaia. He sits on the board of 11 companies – including the seed-funded unicorn Mirakl, iBanFirst, … He combines an entrepreneurial carreer with a VC experience in tech, as well as a past in research labs. Having started his career in the Arithmetics and Algebraic Geometry research lab at Université Paris-Sud, Xavier founded a start up in thelearning sector sold in 1999 to a French publisher. He then joined CPR (acquired by Crédit Agricole Indosuez) where he created and developed a VC business in the software and internet sectors.

LECUN Yann

Vice-President and Chief AI Scientist META AI, Prof. NYU, member of the US National Academy of Sciences, member of the Académie des Sciences, 2018 ACM Turing Award Laureate

Yann LeCun is VP & Chief AI Scientist at Meta and Silver Professor at NYU affiliated with the Courant Institute of Mathematical Sciences & the Center for Data Science. He was the founding Director of FAIR and of the NYU Center for Data Science. He received an Engineering Diploma from ESIEE (Paris) and a PhD from Sorbonne Université. After a postdoc in Toronto he joined AT&T Bell Labs in 1988, and AT&T Labs in 1996 as Head of Image Processing Research. He joined NYU as a professor in 2003 and Meta/Facebook in 2013. His interests include AI, machine learning, computer perception, robotics, and computational neuroscience. He is the recipient of the 2018 ACM Turing Award (with Geoffrey Hinton and Yoshua Bengio) for “conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing”, a member of the National Academy of Sciences, the National Academy of Engineering, the French Académie des Sciences

MALLAT Stephane

Prof. Collège de France, member of Académie des Sciences, PR[AI]RIE Chair

Professor at NYU from 1988 to 1994. Professor at Ecole Polytechnique, from 1994 to 2012. Co-founder and CEO of a semiconductor start-up from 2001 to 2007. Professor in Computer Science at Ecole Normale Supérieure from 2012-to 2017. Professor at the Collège de France in Data Sciences since 2017. Member of the French Academy of sciences, of the French Academy of Technologies and foreign member of the US National Academy of Engineering. IEEE and EUSIPCO Fellow. Recipient of the SPIE 2007 Outstanding Achievement Award, of the 2004 European IST Grand prize, of the 2004 INIST-CNRS prize for most cited French Researcher in engineering, of the 2015 IEEE Signal Processing best sustaining paper award, of the 2017 IEEE Freidrich Gauss Prize.

MAMZER Marie-France

Professor of Ethics and Legal Medicine, Univ. Paris Cité

Doctor and professor of medical ethics and forensic medicine at Université Paris Cité. She heads the ETREs research team dedicated to understanding and studying the ethical issues involved in translational healthcare practices, particularly in oncology.

O Cédric

Board member of Artefact, co-founder of Mistral AI, former Secretary of State for Digital Affairs

Cédric O is an entrepreneur and former Secretary of State for Digital Affairs. He is a non-executive co-founder of the generative AI startup Mistral AI and a board member of Artefact, a consulting firm specializing in data and AI. Additionally, he is a member of the national committee of experts on artificial intelligence. Cédric O graduated from HEC in 2006. After working for Dominique Strauss-Kahn and in consulting, Cédric O became an Advisor to the Minister of Economy and Finance, Pierre Moscovici, between 2012 and 2014. From 2014 to 2017, Cédric O worked for the Safran group, notably as the Deputy Industrial Director, responsible for the Factory of the Future project, and later as the Production Manager. As a founding member of the En Marche movement and treasurer of the 2017 presidential campaign, Cédric O served as an advisor to Emmanuel Macron and the Prime Minister, overseeing state participation and digital affairs from 2017 to 2019. In March 2019, he was appointed Secretary of State for Digital Transition and Electronic Communications. In this role, he supervises the government’s innovation policy, the growth of French Tech, as well as international (G7) and European negotiations related to digital regulation. He played a key role in crafting the Digital Markets Act and Digital Services Act during the French presidency of the Council of the European Union. Cédric O is also responsible for digital coverage of the territory, 5G deployment, and digital tools in the context of pandemic management, including the TousAntiCovid application. Finally, Cédric O is a member of the high-level advisory council on space exploration for the European Space Agency.

RAIBERT Marc

Executive director of The AI Institute and founder of Boston Dynamics

Marc Raibert is the executive director of The AI Institute a new research lab devoted to advancing both the intelligence of robots and their physical skills. He is also the founder of Boston Dynamics. Prior to Boston Dynamics, Raibert was a professor of electrical engineering and computer science at MIT, and CMU before that. There he created the Leg Laboratory, a lab that helped establish the scientific basis for highly dynamic robots. Raibert is a Founding Fellow of AAAI, a member of the National Academy of Engineering, was named Pioneer in Robotics in 2022 by IEEE and received the Engelberger Award in Technology.

ROQUES Bernard-Louis

General Partner, Truffle Capital

Bernard-Louis Roques is a Pioneer in European FinTech & Insurtech.
Launched Truffle Capital’s FinTech Incubator in 2015, Early Stage fund in 2018, and Scaleups fund in 2023.
Truffle Capital has 1bn€ AUM, 100 investments & 14 IPOs, with 22 investments in fintechs and insurtech.
Board Member of Finance Innovation (French governmental agency dedicated to Fintech), ACSEL (French digital economy agency). Repeat entrepreneur, co-founded Truffle Capital after selling his robotics company. Started as bond trader @ HSBC. Author of the « Truffle 100 » (research on software) & the « Fintech 100 » (research on Fintech). MBA from ESSEC Business School and ACE from MIT.

SAGOT Benoit

Research Director Inria, Collège de France, opensquare, PR[AI]RIE Chair

Benoît Sagot is a computer scientist specialised in natural language processing (NLP). He is a Senior Researcher (Directeur de Recherches) at Inria, where is heads the Inria research project ALMAnaCH in Paris, France. He also holds a chair in the PRAIRIE institute dedicated to artificial intelligence, and currently holds the annual chair for computer science in the Collège de France. His research focuses on language modelling, machine translation, language resource development and computational linguistics, with a focus on French in all its form and on less-resourced languages.

SCHAER Stéphanie

Interministerial Director of the Digital sector (DINUM)

Stéphanie Schaer, general engineer of Mines, has been, since September 2022, the interministerial director of digital (DINUM). A former student of the École Polytechnique (1997), she is also a graduate of the École nationale supérieure des telecommunications/Télécom Paris. Her professional career is notably marked by stints at the Central Directorate for Information Systems Security (DCSSI, now ANSSI) from 2002 to 2006, then at the Ministry of the Economy, Industry and Employment where she is project manager on embedded electronics then head of the software industry office of the General Directorate of Competitiveness, Industry and Services in 2008. She later became deputy regional director of businesses, competition, of consumption, work and employment (Direccte) of Burgundy, then of Bourgogne-Franche-Comté. At the same time, in 2015, as an intrapreneur, she launched the State Startup Signals Faibles, which makes it possible to detect companies in difficulty early, to better support them, using data held by administrations. This service, now deployed throughout France, has benefited from DINUM support programs: entrepreneurs of general interest (EIG) and the State Startup incubation program, Beta.gouv . In 2019, Stéphanie Schaer became deputy director of Élisabeth Borne’s cabinet, at the Ministry of Ecological and Inclusive Transition then at the Ministry of Labor where she would then be appointed head of the cabinet. When Élisabeth Borne is appointed to Matignon in May 2022, Stéphanie Schaer becomes advisor to the Prime Minister. On September 26, 2022, she was appointed head of the interministerial digital department.

SCHMID Cordelia

Research Director Inria, member of the German Leopoldina Academy of Sciences, PR[AI]RIE Chair

Cordelia Schmid holds a M.S. degree in Computer Science from the University of Karlsruhe and a Doctorate in Computer Science, from the Institut National Polytechnique de Grenoble (INPG). Her doctoral thesis on “Local Greyvalue Invariants for Image Matching and Retrieval” received the best thesis award from INPG in 1996. She received the Habilitation degree in 2001 for her thesis entitled “From Image Matching to Learning Visual Models”. Dr. Schmid was a post-doctoral research assistant in the Robotics Research Group of Oxford University in 1996–1997. Since 1997 she has held a permanent research position at Inria, where she is a research director. Dr. Schmid is a member of the German National Academy of Sciences, Leopoldina and a fellow of IEEE and the ELLIS society. She was awarded the Longuet-Higgins prize in 2006, 2014 and 2016, the Koenderink prize in 2018, and the Helmholtz prize in 2023, for fundamental contributions in computer vision that have withstood the test of time. She received an ERC advanced grant in 2013, the Humboldt research award in 2015, the Inria & French Academy of Science Grand Prix in 2016, the Royal Society Milner award in 2020, the PAMI distinguished researcher award in 2021 and the Körber European Science Price in 2023. Dr. Schmid has been an Associate Editor for IEEE PAMI (2001–2005) and for IJCV (2004–2012), an editor-in-chief for IJCV (2013–2018), a program chair of IEEE CVPR 2005 and ECCV 2012 as well as a general chair of IEEE CVPR 2015, ECCV 2020 and ICCV 2023. Starting 2018 she holds a joint appointment with Google research.

VERT Jean-Philippe

Chief R&D Officer at Owkin and Co-founder at Bioptimus

Jean-Philippe Vert is Chief R&D Officer at Owkin, an AI Biotech company that uses AI to discover and develop treatments for unmet medical needs, co-founder and CEO at Bioptimus, a start-up building AI foundation models in biology, and professor (on leave) at PSL University Mines Paris. Before joining Owkin in 2022, he was a research scientist at Google Brain (2018-2022), a research professor at ENS Paris’ mathematics Department (2016-2018); a Fullbright and Miller visiting professor at UC Berkeley’s Department of Statistics (2015-2016); a research team leader at the Curie Institute’s research center (2008-2018); a research professor and founding director of Mines ParisTech’s Centre for Computational Biology (2002-2018); and a research associate at Kyoto University’s Bioinformatics Center (2001-2002). He graduated in applied mathematics from Ecole Polytechnique (1995) and received his PhD in mathematics from Paris University (2001). His research interest concerns the theory and practice of statistical machine learning and artificial intelligence to model complex, high-dimensional and structured data, and their applications in computational biology and medicine.

Fully booked. Watch live streaming.

Programme

09:30-09:40 Opening

Jean Ponce, Prof. École normale supérieure – PSL, Scientific Director of PRAIRIE

Isabelle Ryl, Vice President AI of PSL, Director of PRAIRIE

09:40-10:50 Session I

Moderator: Gabriel Peyré

09:40-10:15 Francis Bach, Research Director Inria, member of Académie des Sciences

“An alternative view of denoising diffusion models”

10:15-10:50 Stéphane Mallat, Prof. Collège de France, member of Académie des Sciences

“Approximation and generalisation of image generation by denoising score matching”

10:50-11:10 Coffee Break

11:10-12:40 Session II

Moderator: Justine Cassell

11:10-11:30 Virginie Do, 2023 laureate of L’Oréal-Unesco Young French Talent Award for Women in Science

“Fairness in recommender systems: Insights from social choice”

11:30-12:05 Giulio Biroli, Prof. École normale supérieure – PSL

“Dynamical Regimes of Diffusion Models”

12:05-12:40 Michael Jordan, Research director at INRIA, member of the US National Academy of Sciences, and Foreign Member of the Royal Society

“An Alternative View on AI: Collaborative Learning, Incentives, and Economic Tradeoffs”

12:40-13:40 Lunch

13:40-15:45 Session III

Moderator: Stéphanie Allassonnière

13:40-14:15 Judith Rousseau, Prof. Université Paris Dauphine-PSL

“Bayesian nonparametric manifold learning” (joint talk with Paul Rosa, PhD student University of Oxford)

14:15-14:50 Daniel Cremers, Director of the Munich Center for Machine Learning and Chair of Computer Vision and Artificial Intelligence at TU Munich, member of the Bavarian Academy of Sciences

“3D Computer Vision for Dynamic Scene Understanding”

14:50-15:25 Cordelia Schmid, Research Director Inria, member of the German Leopoldina Academy of Sciences

“Advances in Dense Video Captioning, Vision-Guided Navigation and Robot Manipulation”

15:25-15:45 Céline Beji, 2023 laureate of i-PhD BPI France

“Causal inference for the prescription of personalised cancer treatments”

15:45-16:05 Coffee break

16:05-17:50 Session IV

Moderator: Jean-Baptiste Masson

16:05-16:40 Julia Kempe, Prof. NYU, Visiting Prof. École normale supérieure – PSL, Meta AI

“Synthetic Data – Friend or Foe in the Age of Scaling?”

16:40-17:15 Marc Raibert, Executive director of The AI Institute and founder of Boston Dynamics

“Making Robots Smarter in Body in Mind”

17:15-17:50 Yann LeCun, Vice-President and Chief AI Scientist META AI, Prof. NYU, member of the US National Academy of Sciences, member of the Académie des Sciences, 2018 ACM Turing Award Laureate

17:50-18:00 Closing

Cocktail

Speakers

BACH Francis

Research Director Inria, member of Académie des Sciences, PR[AI]RIE Chair

Francis Bach is a researcher at Inria, leading since 2011 the machine learning team which is part of the Computer Science department at Ecole Normale Supérieure. He graduated from Ecole Polytechnique in 1997 and completed his Ph.D. in Computer Science at U.C. Berkeley in 2005, working with Professor Michael Jordan. He spent two years in the Mathematical Morphology group at Ecole des Mines de Paris, then he joined the computer vision project-team at Inria/Ecole Normale Supérieure from 2007 to 2010. Francis Bach is primarily interested in machine learning, and especially in sparse methods, kernel-based learning, neural networks, and large-scale optimization He obtained in 2009 a Starting Grant and in 2016 a Consolidator Grant from the European Research Council, and received the Inria young researcher prize in 2012, the ICML test-of-time award in 2014 and 2019, the NeurIPS test-of-time award in 2021, as well as the Lagrange prize in continuous optimization in 2018, and the Jean-Jacques Moreau prize in 2019. He was elected in 2020 at the French Academy of Sciences. In 2015, he was program co-chair of the International Conference in Machine learning (ICML), general chair in 2018, and president of its board between 2021 and 2023; he was co-editor-in-chief of the Journal of Machine Learning Research between 2018 and 2023.

BEJI Céline

Université Paris Cité, 2023 laureate of i-PhD BPI France

Céline Beji is a researcher in personalised medicine and the founder & CEO at MyTreatment.  Her innovative work at Université Paris Cité uses causal inference in healthcare to bridge the gap between cutting-edge research and its practical application in medical practice. After completing her PhD at Université Paris Dauphine PSL as a member of the Machine Learning team, she furthered her expertise by completing a Master’s degree in Entrepreneurship and Deeptech Innovation at Mines Paris PSL. 
With MyTreatment, she aims to revolutionise the way cancer treatments are prescribed and make personalised medicine accessible to patients worldwide. Her contributions have been supported by several grants (PSL, PÉPITE Île-de-France), and she has received the i-PhD 2023 award from BpiFrance, which promotes and supports young innovative researchers with entrepreneurial projects in the field of breakthrough technologies.

BIROLI Giulio

Prof. École normale supérieure – PSL, PR[AI]RIE Chair

Professor of theoretical physics at ENS Paris (2018-). Research director at IPhT CEA (2002-2018). Associate professor at the Ecole Polytechnique (2010-2015). DIrector of the ICFP Master (2019-), director of the Beg Rohu Summer School (2008-). Editor in Chief of Journal of Statistical Physics. PI of the Simons collaboration «Cracking The Glass Problem», ERC Consolidator Grant 2011. CNRS Silver Medal 2024, Prix d’Aumale 2018, Young Scientist award in statistical physics 2007.

CREMERS Daniel

Director of the Munich Center for Machine Learning, Chair of Computer Vision and Artificial Intelligence at TU Munich, member of the Bavarian Academy of Sciences

Daniel Cremers is Director of the Munich Center for Machine Learning and holds the Chair of Computer Vision and Artificial Intelligence at TU Munich.  After studying physics and mathematics, he received his doctorate in computer science in 2002. He has conducted research in Heidelberg, Mannheim, Rennes, Los Angeles, Princeton, Bonn, Cambridge, and Oxford. He has co-authored over 500 publications and is listed among the top 10 most influential roboticists of the last decade. He received numerous awards including the Gottfried-Wilhelm Leibniz Prize, the biggest award in German academia.  He has served as co-founder, advisor and business angel to several startups.

DO Virginie

2023 laureate of L’Oréal-Unesco Young French Talent Award for Women in Science

Virginie Do is a Research Scientist at Meta, working on safe & responsible AI. She recently completed her PhD at Université Paris Dauphine-PSL and Meta (FAIR). Her PhD focused on fairness in recommender systems. Her work has been recognized with an Outstanding Paper Award at AAAI 2022 and a L’Oreal-UNESCO French Young Women In Science award.

JORDAN Michael I.

Research director at INRIA, member of the US National Academy of Sciences, and Foreign Member of the Royal Society

Michael I. Jordan is a researcher at INRIA and Professor Emeritus at the University of California, Berkeley. His research interests bridge the computational, statistical, cognitive, biological and social sciences. Prof. Jordan is a member of the National Academy of Sciences, a member of the National Academy of Engineering, a member of the American Academy of Arts and Sciences, and a Foreign Member of the Royal Society. He was the inaugural winner of the World Laureates Association (WLA) Prize in 2022. He was a Plenary Lecturer at the International Congress of Mathematicians in 2018. He has received the Ulf Grenander Prize from the American Mathematical Society, the IEEE John von Neumann Medal, the IJCAI Research Excellence Award, the David E. Rumelhart Prize, and the ACM/AAAI Allen Newell Award. In 2016, Prof. Jordan was named the “most influential computer scientist” worldwide in an article in Science, based on rankings from the Semantic Scholar search engine.

KEMPE Julia

Prof. NYU, Visiting Prof. École normale supérieure – PSL, Meta AI

Julia Kempe is a visiting researcher at CSD at the ENS and a part time Visiting Senior Researcher at Meta FAIR Paris, while on leave from NYU, where she is a Silver Professor of Computer Science, Mathematics and Data Science at the NYU Center for Data Science and the Courant Institute of Mathematical Sciences since 2018. From 2011-18 she worked as a quantitative researcher in finance. Before that she was a Research Director at the CNRS in Computer Science in Paris 7, and Associate
Professor of Computer Science at Tel Aviv University. She holds PhD degrees in Mathematics from UC Berkeley and in Computer Science from ENST. Her early works are in quantum computing and quantum complexity, while more recently she has pivoted to machine learning and data science. She has been awarded the CNRS Bronze Medal, the Prix Irene Joliot-Curie for young researcher and the Krill Prize for Excellence in Scientific research, among others.

LECUN Yann

Vice-President and Chief AI Scientist META AI, Prof. NYU, member of the US National Academy of Sciences, member of the Académie des Sciences, 2018 ACM Turing Award Laureate

Yann LeCun is VP & Chief AI Scientist at Meta and Silver Professor at NYU affiliated with the Courant Institute of Mathematical Sciences & the Center for Data Science. He was the founding Director of FAIR and of the NYU Center for Data Science. He received an Engineering Diploma from ESIEE (Paris) and a PhD from Sorbonne Université. After a postdoc in Toronto he joined AT&T Bell Labs in 1988, and AT&T Labs in 1996 as Head of Image Processing Research. He joined NYU as a professor in 2003 and Meta/Facebook in 2013. His interests include AI, machine learning, computer perception, robotics, and computational neuroscience. He is the recipient of the 2018 ACM Turing Award (with Geoffrey Hinton and Yoshua Bengio) for “conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing”, a member of the National Academy of Sciences, the National Academy of Engineering, the French Académie des Sciences

MALLAT Stephane

Prof. Collège de France, member of Académie des Sciences, PR[AI]RIE Chair

Professor at NYU from 1988 to 1994. Professor at Ecole Polytechnique, from 1994 to 2012. Co-founder and CEO of a semiconductor start-up from 2001 to 2007. Professor in Computer Science at Ecole Normale Supérieure from 2012-to 2017. Professor at the Collège de France in Data Sciences since 2017. Member of the French Academy of sciences, of the French Academy of Technologies and foreign member of the US National Academy of Engineering. IEEE and EUSIPCO Fellow. Recipient of the SPIE 2007 Outstanding Achievement Award, of the 2004 European IST Grand prize, of the 2004 INIST-CNRS prize for most cited French Researcher in engineering, of the 2015 IEEE Signal Processing best sustaining paper award, of the 2017 IEEE Freidrich Gauss Prize.

RAIBERT Marc

Executive director of The AI Institute and founder of Boston Dynamics

Marc Raibert is the executive director of The AI Institute a new research lab devoted to advancing both the intelligence of robots and their physical skills. He is also the founder of Boston Dynamics. Prior to Boston Dynamics, Raibert was a professor of electrical engineering and computer science at MIT, and CMU before that. There he created the Leg Laboratory, a lab that helped establish the scientific basis for highly dynamic robots. Raibert is a Founding Fellow of AAAI, a member of the National Academy of Engineering, was named Pioneer in Robotics in 2022 by IEEE and received the Engelberger Award in Technology.

ROUSSEAU Judith

Prof. Université Paris Dauphine-PSL

Judith Rousseau works on the theoretical properties of Bayesian methods in high dimensions, with special interests in uncertainty quantifications, semi-parametric inference and scalable methods. She received her Phd in Statistics at University Paris 6 in 1997. She was assistant professor in University Paris 5 from 1998 – 2003 and became Professor of Statistics at University Paris Dauphine in 2003. She has been statutory professor at the University of  Oxford since 2017 and has now a joint affiliation between Oxford and Université Paris Dauphine. She has been an AE of a number of journals, such as Annals of Statistics, Bernoulli, JASA, EJS, Scandinavian Journal of statistics and is editor of Bayesian Analysis. She is a fellow of the IMS and ISBA. She received the Ethel Newbold prize in 2015, gave a Medallion lecture at the IMS in 2017 and has received an ERC advanced grant in 2019.  

SCHMID Cordelia

Research Director Inria, member of the German Leopoldina Academy of Sciences, PR[AI]RIE Chair

Cordelia Schmid holds a M.S. degree in Computer Science from the University of Karlsruhe and a Doctorate in Computer Science, from the Institut National Polytechnique de Grenoble (INPG). Her doctoral thesis on “Local Greyvalue Invariants for Image Matching and Retrieval” received the best thesis award from INPG in 1996. She received the Habilitation degree in 2001 for her thesis entitled “From Image Matching to Learning Visual Models”. Dr. Schmid was a post-doctoral research assistant in the Robotics Research Group of Oxford University in 1996–1997. Since 1997 she has held a permanent research position at Inria, where she is a research director. Dr. Schmid is a member of the German National Academy of Sciences, Leopoldina and a fellow of IEEE and the ELLIS society. She was awarded the Longuet-Higgins prize in 2006, 2014 and 2016, the Koenderink prize in 2018, and the Helmholtz prize in 2023, for fundamental contributions in computer vision that have withstood the test of time. She received an ERC advanced grant in 2013, the Humboldt research award in 2015, the Inria & French Academy of Science Grand Prix in 2016, the Royal Society Milner award in 2020, the PAMI distinguished researcher award in 2021 and the Körber European Science Price in 2023. Dr. Schmid has been an Associate Editor for IEEE PAMI (2001–2005) and for IJCV (2004–2012), an editor-in-chief for IJCV (2013–2018), a program chair of IEEE CVPR 2005 and ECCV 2012 as well as a general chair of IEEE CVPR 2015, ECCV 2020 and ICCV 2023. Starting 2018 she holds a joint appointment with Google research.

↪️ Inscription obligatoire : https://lnkd.in/eq7YhG9A

La House of Entrepreneurship Dauphine vous donne rendez-vous pour une nouvelle conférence inspirante sur le sujet de l’IA & de la transformation digitale Responsable.

Nous accueillons prochainement Eric Cohen, le Président et Fondateur du Groupe Keyrus !

Fondée en 1996, Keyrus est une société de conseils et de services informatiques spécialisée dans les #nouvelles #technologies de l’#information et des #communications. Keyrus emploie plus de 3500 collaborateurs et collaboratrices dans les métiers de la #Datascience et de la #transformation #digitale.
Dotée de valeurs sociétales fortes, Keyrus fournit à ses clients grands comptes et ETI des solutions performantes, avec l’humain et notre planète au centre des préoccupations.

Jean-David BENICHOU, entrepreneur, Business Angel et intervenant au sein de l’Université Paris-Dauphine animera cette conférence.

Rendez-vous le lundi 26 février, de 19h à 20h30 dans l’amphi 2-3 de l’Université Paris-Dauphine PSL

Inscrivez-vous à la liste d’annonces du DHAI pour recevoir le lien Zoom.

Register for the DHAI announcement list to receive the Zoom link.

“Algorithms in the Abbey: Deep Learning and Medieval Music“

Speaker: Xavier Fresquet (Sorbonne Center for Artificial Intelligence)

Abstract : 

In this presentation, we will explore the impact of deep learning techniques on research at the intersection of musicology and medieval studies. We will commence by analysing the utilization of deep learning for Optical Music Recognition (OMR) within the realms of medieval musicology and computer science. Subsequently, we will investigate its applications in the analysis of medieval images, particularly in the context of musical iconography and organology. Finally, we will delve into the application of these techniques in examining the relationship between text and medieval music, with a specific focus on stylometry applied to medieval secular songs.

Short bio: Xavier Fresquet serves as the Deputy Director at the Sorbonne Center for Artificial Intelligence (SCAI). Following the completion of his Ph.D. in musicology and digital humanities at Paris-Sorbonne, Xavier Fresquet joined UPMC, later becoming a part of Sorbonne University, in 2015. His research interests revolve around the intersections of musicology, medieval studies, and digital humanities, with a recent focus on machine learning. It encompasses the analysis of images depicting medieval performances, use of theoretical texts related to the Medieval musical world, and the study of musical notation. Xavier Fresquet actively participates in the Musiconis database, the most extensive repository of medieval musical iconography. Additionally, he authors a musicological blog named Mnemomed, devoted to the exploration of the Mediterranean’s medieval musical heritage.

Inscrivez-vous à la liste d’annonces du DHAI pour recevoir le lien Zoom.

Register for the DHAI announcement list to receive the Zoom link.

(Note: You can join us in person at the École Normale Supérieure, or remotely via Zoom. The Zoom link will be send the day prior to the seminar.)

“Digital Humanities / Artificial Intelligence“

Speaker 1: Pedro Ortize (Common Crawl Foundation)

“Annotating Multilingual Heterogeneous Web-Based Corpora“

Abstract : In this talk we will introduce the OSCAR project and present our recent efforts in overcoming the difficulties posed by the heterogeneity, noisiness and size of web resources; in order to produce higher quality textual data for as many languages as possible. We will also discuss recent developments in the project, including our data-processing pipelines to annotate and classify large amounts of textual data in constrained environments. Finally, we will present how the OSCAR initiative is currently collaborating with other projects in order to improve data quality and availability for low-resource languages.

Speaker 2: Philipp Schneider (Humboldt-Universität zu Berlin)

“The Digital Heraldry Projekt. A Knowledge Graph with Semantic Web Technologies and Machine Learning to study medieval visual sources“

Abstract : Visual communication forms an important part of medieval and early modern european culture. Especially coats of arms were widely used in different social groups and offer an important source for cultural history. This subject is at the center of the Digital Heraldry Project. Here, we created a Knowledge Graph with Semantic Web Technologies to (1) describe coats of arms, (2) trace their use over different types of historical sources and objects and link them to their images, (3) place these objects in their historical context of use, and (4) trace how and by whom coats of arms were used on these objects. Furthermore, the ontologies created for this Knowledge Graph are able to account for multiperspectivity regarding the description and interpretation of the historical sources it represents. The talk will give an overview on the project and its results with regard to the field of Digital History. Although mainly focusing on the parts of the project, dealing with symbolic AI, the presentation will also touch upon the integration of large image corpora into the Knowledge Graph through Machine Learning.

Le développement extrêmement soutenu de l’Intelligence artificielle ces derniers mois émerveille et inquiète à la fois. Il semble important de réguler ce domaine pour éviter les dérives éventuelles. Mais que réguler ? Si tout le monde (ou presque) s’accorde sur la nécessité de renforcer la réglementation des applications intégrant des techniques d’IA, la régulation des modèles de fondation (les grands modèles de langue en particulier) reste beaucoup plus débattue. Ces modèles ne sont pas des applications à proprement parler, ils sont complexes mais peuvent donner lieu à un grand nombre de services et de services très divers (en droit, en santé, en enseignement, etc.). Faut-il les réguler ? Si oui, quels aspects de ces modèles faudrait-il réguler ? Ou bien faut-il faire reposer toute la législation sur les applications, laissant ainsi les modèles sans règles spécifiques ? Plus globalement, la régulation ne risque-t-elle pas de tuer l’innovation, comme on l’entend souvent ?

• Participants au débat
  • Raja Chatila (membre du comité national consultatif d’éthique du numérique) 
  • Camilla Penzo (Research lead au PEReN, Pôle d’Expertise sur la Régulation du Numérique)
  • Isabelle Ryl (Directrice de Prairie)
  • Anastasia Stasenko (Research Lead à opsci.ai)

• Organisateurs – Initiative IA et Société de l’Ecole normale supérieure
  • Aïda Elamrani
  • Romane Gallienne
  • Thierry Poibeau

Ce débat s’inscrit dans le cadre d’un cycle de réflexion sur l’impact de l’IA sur la société.

• Inscription gratuite mais obligatoire :
  https://framaforms.org/participation-au-seminaire-de-debat-sur-la-regulation-de-lia-1701651775
• Les débats seront retransmis sous format hybride si les conditions le permettent. La participation sur place est recommandée.

Held in coordination with the CHR 2023 Conference (Dec 6-8, 2023, EPITA, Paris)

The availability of large collections of literary texts (several thousands of novels for a given language for example, covering a significant part of the literature of the time) along with statistical models have profoundly changed our knowledge of literature. In parallel, the availability of efficient natural language processing (NLP) tools has made possible the structural analysis of these novels.

More recently, the advent of large language models and more specifically generative AI has again dramatically modified the analysis of literary texts, providing more robust and more versatile annotation tools. Zero-shot learning means that new categories and new tasks can be explored at a reduced cost, through prompting for example. But this is not without raising new questions. These techniques may be less robust (depending on the quality of the training set), harder to evaluate and harder to replicate (since models evolve very quickly; they depend on several parameters and do not always produce the same output).

The workshop will explore themes related to the annotation and analysis of large literary corpora. It will more specifically examine for what generic tasks we now have access to relatively robust and accurate tools. We will then investigate to what extent generative models can be exploited in this context, their benefits and their potential drawbacks. The implication on teaching may also be addressed, as well as the very quick obsolescence of current programs, given the pace of the evolution of the domain.

• Sponsors
  • With the support of Lattice (https://lattice.cnrs.fr), CNRS (IRN Cyclades) and Prairie (Paris Artificial Intelligence Research Institute, https://prairie-institute.fr).

• Scientific committee
  • David Bamman (Berkeley, USA)
  • Evelyn Gius (Darmstadt, Germany)
  • Thierry Poibeau (CNRS, France)
  • Sara Tonelli (FKB, Italy)
• Organization committee
  • Jean Barré (firstname.lastname [at] ens.psl.eu)
  • Pedro Cabrera
  • Florian Cafiero
  • Fabien Garrido
  • Virginie Pauchont
  • Marie Puren
  • Thierry Poibeau

• Registration is mandatory at this link: https://framaforms.org/chr2023-workshop-ai-and-large-language-models-llms-for-the-analysis-of-large-literary-corpora
• Remote attendance will be possible: a link will be sent the day before the workshop to participants who registered with the link above.

More info and schedule: https://workshop-llms4cls.github.io/

Speaker: Sara Budts, University of Antwerp

This seminar illustrates the benefits, caveats and shortcomings of the use of Natural Language Processing techniques to answer historical research questions by means of two recent projects that sit on the interface between the digital and the historical. The first project explores discursive patterns in lottery rhymes produced in the late medieval and early modern Low Countries, with a focus on the rhymes used by women. The lottery was a popular fundraising event in the Low Countries. Lottery rhymes, personal messages attached to the lottery tickets, provide a valuable source for historians. We collected more than 11,000 digitized short texts from five lotteries held from 1446 to 1606 and used GysBERT, a Language Model of historical Dutch, to identify distinctly male and female discourses in the lottery rhymes corpus. Although the model pointed us to some interesting patterns, it also showed that male and female lottery rhymes do not radically differ from each other. This is consistent with insights from premodern women’s history which stresses that women worked within societal, and in this case literary, conventions, sometimes subverting them, sometimes adapting them, sometimes adopting them unchanged. This research results from a collaboration with Marly Terwisscha van Scheltinga and Jeroen Puttevils. The second project is more practical in nature and addresses the design and implementation of a Named Entity Recognition (NER) system for the Johnson Letters, a correspondence of about 800 letters written by and to the English merchant John Johnson, all dated between 1542 and 1552. Due to the historical nature and relatively small size of the dataset, the letters required a tailored approach for NER-tagging. After manually annotating about 100 letters as ground truth, we set up experiments with Conditional Random Field (CRF) models as well as fine-tuned transformer-based models using bert-base-NER, hmBERT, and MacBERTh pre-trained language models. Results were compared across all model types. CRF models performed competitively, with combined sampling techniques proving effective for named entities with few training examples. bert-based-NER and hmBERT finetuned models performed better than MacBERTh models, despite the latter language model’s pre-raining with EModE data. This project was carried out in collaboration with MA-student Patrick Quick. Drawing on insights from these two projects, the talk will conclude with a brief discussion of the usefulness of NLP-methodologies for historical research more generally.

IA et société : nouvelle donne, nouveaux enjeux

3 jours de conférences autour des sujets qui font l’actualité de l’IA :
Santé, droit, éthique, économie, finance, médias
 

À la suite du succès de la première édition des Dauphine Digital Days, l’Université Paris Dauphine – PSL, via son programme Dauphine Numérique, organise la seconde édition du 20 au 22 novembre 2023. 

3 jours de conférences centrés sur l’intelligence artificielle et ses impacts sur la société, en partenariat avec l’Institut 3IA PRAIRIE, La French Tech, Les Echos et Sciences & Avenir. 

Santé, droit, éthique, économie numérique, finance ou encore les médias sont autant de domaines qui seront discutés et débattus dans une approche pluridisciplinaire par des experts académiques, institutionnels et des professionnels du secteur socio-économique.

Le programme est disponible ici

Événement en accès libre sur inscription

Seconde édition du Colloque Français d’Intelligence Artificielle en Imagerie Biomédicale (IABM 2024), co-organisé par les Instituts 3IA de Grenoble (MIAI), Nice (3IA Côte d’Azur) et Paris (PRAIRIE) du 25 au 27 Mars 2024 à la Maison Minatec à Grenoble.

Le site web du colloque est encore en construction mais vous pouvez d’ores et déjà y accéder ici : https://iabm2024.sciencesconf.org/

Le Comité d’Organisation

              Benjamin Lemasson  GIN, Grenoble

              Michel Dojat GIN, Grenoble

              Clément Beitone TIMC, Grenoble

              Max Langer TIMC, Grenoble

              Pedro Rodrigues Inria centre de l’Université Grenoble-Alpes

              Sergi Pujades  Inria centre de l’Université Grenoble-Alpes

Speakers: David Bamman (Berkeley), Evelyn Gius (Technical University Darmstadt), Enrique Manjavacas Arevalo (U. Leiden)

Pre-registration (required): https://forms.gle/yTmxufDLTtkUg1mF9

Talks will be held in English.

Zoom link will be send just before the workshop to those registered and not able to attend (depending on technical conditions – we recommend attending in person).

The workshop is organized with the support of EUR Translitterae (https://www.translitterae.psl.eu/) and PRAIRIE.

Program

* 14h — Thierry Poibeau. Welcome and Introduction

*14h05 — David Bamman (Berkeley): « The Promise and Peril of Large Language Models for Cultural Analytics »

Abstract: In this talk, I’ll discuss the role of large language models (such as ChatGPT, GPT-4 and open alternatives) for research in cultural analytics, both raising issues about the use of closed models for scholarly inquiry and charting the opportunity that such models present. I’ll discuss recent work carrying out a data archaeology to infer books that are known to ChatGPT and GPT-4 using a name cloze membership inference query, where we find that OpenAI models have memorized a wide collection of materials and that the degree of memorization is tied to the frequency with which passages of those books appear on the web. I’ll also detail the use of those models for downstream tasks in cultural analytics, illustrating their affordances for measurement of difficult cultural phenomena, but also the risks that come in establishing measurement validity. The rise of large pre-trained language models has the potential to radically transform the space of cultural analytics by both reducing the need for large-scale training data for new tasks and lowering the technical barrier to entry, but need care in establishing the reliability of results.

*15h — Evelyn Gius (Technical University Darmstadt): « Events as minimal units in prose – A narrative theory-driven approach to event classification and narrativity »

Abstract: Narrative theory conceives of events as smallest building blocks of narratives. Moreover, events are linked to plot by the concepts of tellability and narrativity. In this talk I will sketch an approach to narrativity and plot that builds on the different event concepts in narrative theory. While events are considered as changes of state in most approaches, some theorists also include weaker concepts in their event concepts. By integrating these different accounts into our operatonalization of events, we are working towards a strongly discourse-driven plot analysis. I will sketch our approach to event and narrativity analysis and discuss the implications for both narrative theory and applied computational narratology.

(break)

*16h — Enrique Manjavacas Arevalo (U. Leiden): « Historical Language Models and their Application to Word Sense Disambiguation »

Abstract: Large Language Models (LLMs) have become the cornerstone of current methods in Computational Linguistics. As the Humanities look towards computational methods in order to analyse large quantities of text, the question arises as to how these models are best developed and applied to the specificities of their domains. In this talk, I will address the application of LLMs to Historical Languages, following up on the MacBERTh project. In the context of the development of LLMs for Historical Languages, I will address how they can be specifically fine-tuned with efficiency to tackle the problem of Word Sense Disambiguation. In a series of experiments relying on data from the Oxford English Dictionary, I will highlight how non-parametric and metric learning approaches can be an interesting alternative to traditional fine-tuning methods that rely on classifiers that learn to disambiguate specific lemmas.

Bios

David Bamman is an associate professor in the School of Information at UC Berkeley, where he works in the areas of natural language processing and cultural analytics, applying NLP and machine learning to empirical questions in the humanities and social sciences. His research focuses on improving the performance of NLP for underserved domains like literature (including LitBank and BookNLP) and exploring the affordances of empirical methods for the study of literature and culture. Before Berkeley, he received his PhD in the School of Computer Science at Carnegie Mellon University and was a senior researcher at the Perseus Project of Tufts University. Bamman’s work is supported by the National Endowment for the Humanities, National Science Foundation, the Mellon Foundation and an NSF CAREER award.

Evelyn Gius is a Professor of Digital Philology and Modern German Literature at Technical University Darmstadt and head of the fortext lab. Her research focuses on narrative theory, manual annotation, operationalization, segmentation, and conflict. She leads the development of the annotation platform CATMA as well as the platform fortext.net where beginner-friendly materials for Digital Humanities are provided. Her current research projects include EvENT, a project on events as minimal units of narration, and KatKit, a project on the operationalization of humanities concepts in the framework of applied category theory from mathematics.
Gius also serves as chair of the Digital Humanities Association in the German-speaking areas (“Digital Humanities im deutschsprachigen Raum”, DHd), as co-editor of the Open Access Journal of Computational Literary Studies (JCLS), and as co-editor of the Metzler/Springer Nature book series “Digital Literary Studies“.

Enrique Manjavacas Arevalo is currently a post-doc at the University of Leiden, working in the MacBERTh project developing Large Language Models for Historical Languages. He obtained a PhD at the University of Antwerp (2021) with a dissertation on computational approaches to text reuse detection.

Speakers: Thierry Poibeau (CNRS & ENS-PSL), Anita Burgun (Université Paris Cité, HEGP and Necker Hospital), Franziska Poszler  (Institute for Ethics in AI at the Technical University of Munich)

Pre-registration (required): https://forms.gle/8SBo5eDPG4w25YHT7

Talks will be held in English.

Use and regulation of AI at a time when the AI Act is being implemented at European level.

The workshop is organized by ENS-PSL in association with PRAIRIE. It is also the result of a collaboration between the Institute for Ethics in AI at the Technical University of Munich and the Ecole normale supérieure-PSL.

Program

* 17h — Thierry Poibeau (CNRS & ENS-PSL): Welcome and Introduction

* 17h05 — Anita Burgun (Université Paris Cité, HEGP and Necker Hospital): Augmented intelligence vs AI to support health decision making

Abstract: Several AI-based applications have been recently suspended for giving harmful advice. To avoid this kind of problem in the future, medical doctors are now asking for augmented intelligence to involve medical experts in the algorithms’ development, and for the integration of human knowledge in order to enhance the accuracy in decision making

* 17h35 — Franziska Poszler  (Institute for Ethics in AI at the Technical University of Munich): The impact of decision-support systems on humans’ ethical decision-making

Abstract: With the rise and public accessibility of AI-enabled decision-support systems, individuals outsource increasingly more of their decisions, even those that carry ethical dimensions. This presentation will summarize one of our working papers in which we conducted a systematic literature review to illustrate how decision-support systems shape humans’ ethical decision-making on an individual and societal level.

* 18h05 — Thierry Poibeau (CNRS & ENS-PSL): Some comments on the notion of bias in AI

Abstract: A major source of concerns for ethical AI and for a fair representation of people is the notion of bias. In this talk, we show that while a lot of research has been devoted to removing bias in data, this notion is not always precisely defined, which leads to difficulties and misunderstanding so as what automatic systems can do.

* 18h30 — Debate on the regulation of AI in view of the AI act, with the different speakers and with Prof. C Lütge (Director of the TUM Institute for Ethics in AI, a member of the Scientific Board of the European AI Ethics initiative AI4People as well as of the German Ethics Commission on Automated and Connected Driving)

Bios

Anita Burgun is Professor of Biomedical Informatics at Université Paris Cité, and works at HEGP and Necker Hospital. She is a fellow of the AI PR[AI]RIE Institute where she leads a program on AI for rare diseases

Franziska Poszler is a PhD student and research associate at the Chair of Business Ethics and the Institute for Ethics in AI at the Technical University of Munich, Germany.

Thierry Poibeau is a CNRS Research Director working at the Ecole normale supérieure. He is a fellow of the AI PR[AI]RIE Institute where he develops research on natural language processing and digital humanities.

Speaker : Philipp HACKER (European University Viadrina, European New School of Digital Studies, Frankfurt/Oder)

The Interdisciplinary Seminar ‘Algorithms and Society’ (ISAS) focuses on the societal, legal, political and economic issues related to the development of algorithmic decisions. It aims at confronting the perspectives brought by the different specialists, by emphasizing the definitions of the key concepts and by supporting the interdisciplinary exchanges between social sciences, data science and artificial intelligence specialists.

Link to the Visioconference:
https://teams.microsoft.com/l/meetup-join/19%3ameeting_MDdmZjE3M2QtMzU2Mi00ODI3LWIyMzYtMjgxMzM3NGY3NWRi%40thread.v2/0?context=%7b%22Tid%22%3a%2281e7c4de-26c9-4531-b076-b70e2d75966e%22%2c%22Oid%22%3a%22ba099426-2c01-4e1f-a5c8-5acfe04ce994%22%7d

Speakers: Folgert Karsdorp, Mike Kestemont

At the École des chartes, and with the support of the PRAIRIE project “Les Passés artificiels / Artificial Pasts: lost texts and manuscripts that never were “, Jean-Baptiste Camps and his team will welcome Folgert Karsdorp and Mike Kestemont, that will talk about their research on the application of unseen species models to the estimation of medieval manuscript losses.

More information and registration can be found here.

The talk will be given in English.

Speakers: Daniel Foliard with Soumik Mallick, Julien Schuh, Marina Giardinetti, and Mohamed Salim Aissi

Séminaire « Digital Humanities meet Artificial Intelligence »

Intervenants : Daniel Foliard with Soumik Mallick, Julien Schuh, Marina Giardinetti, and Mohamed Salim Aissi

Titre : Early conflict photography as data: an overview of the EyCon project

Abstract : The presentation will provide an overview of a project that aims at aggregating a thematic collection focusing on early conflict photography (1890-1918). The EyCon research project is experimenting with AI techniques to augment historical enquiry and data enrichment of a large visual corpus of historical photographs. It will add automatically enriched metadata to its online database and publish a prototype for the inclusion of AI functionalities into similar repositories. The team also reflects on the ethics of showing and facilitating access to a potentially contested material. The presentation will discuss the project’s perimeter, its data architecture and provide case studies of how AI can be applied to late 19th c./early 20th c. photographs.

École normale supérieure, 45 rue d’Ulm, 75005 Paris
Centre Sciences des Données (3ème étage près de l’escalier C / 3rd floor by stairway C)

Speaker: Anne-Sophie Hulin, professeure adjointe à l’Université de Sherbrooke et titulaire pour l’année 2023 de la chaire Abeona/ENS/Obvia

• Frédéric Worms, Directeur de l’École normale supérieure -PSL,
• Anne Bouverot, Cofondatrice de la fondation Abeona et Présidente du Conseil d’administration de l’ENS-PSL,
• Thierry Poibeau, Directeur de recherche au CNRS, responsable scientifique de la chaire Abeona/ENS/Obvia « Justice Sociale et IA » et titulaire de la chaire de l’institut d’Intelligence artificielle Prairie en traitement des langues maternelles numériques

ont le plaisir de vous convier à la conférence. Pour participer, cliquez sur le lien ci-dessous :

https://www.eventbrite.fr/e/560336149507

The registration is closed now.

The PRAIRIE 3IA Institute, LAAS-CNRS and Collège de France are happy to invite you to an international workshop in honor of the late Jean-Paul Laumond, one of the world top robotics researchers, well known for his work on nonholonomic robot control, motion planning and humanoid robotics. Jean-Paul Laumond spent most of his career at LAAS-CNRS in Toulouse, where he notably created and led the Gepetto research team as well as the Kineo Cam company, before joining the Willow team at DI/ENS, a joint unit of ENS-PSL, CNRS and Inria and becoming one of the founding Chair holders of PRAIRIE in 2019. He held the Liliane Bettencourt Technological Innovation Chair at Collège de France in 2011-2012, and was elected at the French Academy of Engineering in 2015 and the French Academy of Sciences in 2017.

The workshop is organised by Jean Ponce (Inria/NYU) and Philippe Souères (LAAS-CNRS).

This one-day workshop will be held at Collège de France on July 11, 2022, with opening remarks by Stéphane Mallat, Professor at Collège de France, Chair of Data Sciences and a PRAIRIE colleague of Jean-Paul Laumond. Confirmed speakers include Alin Albu-Schäffer (TUM), Daniel Andler (Sorbonne Université and ENS-PSL), Antonio Bicchi (Pisa), John Canny (UC Berkeley), Justin Carpentier (Inria), Alessandro De Luca (Sapienza), Ken Goldberg (UC Berkeley), Vincent Hayward (Sorbonne Université), Matt Mason (CMU), Katja Mombaur (Waterloo), Céline Pieters (Vienna), Jean Ponce (Inria), Philippe Souères (LAAS-CNRS) and Eiichi Yoshida (Tokyo University of Science).

Financial support is provided in part by PRAIRIE, Collège de France, LAAS-CNRS and Paul Jacobs.

Speakers & Abstracts

Program

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/version française/

Workshop en l’honneur de Jean-Paul Laumond

11 juillet 2022

Collège de France, 11 place Marcelin Berthelot, 75005 Paris, Amphithéâtre  Maurice Halbwachs, rez-de-chaussé du Collège de France, après l’accueil

L’inscription a été clôturée.

L’Institut 3IA PRAIRIE, le LAAS-CNRS et le Collège de France sont heureux de vous inviter à un workshop international en l’honneur de Jean-Paul Laumond, disparu en décembre dernier, l’une des figures marquantes de la robotique, mondialement connu pour ses travaux sur la commande des robots non-holonomes, la planification de mouvement et la robotique humanoïde. Directeur de Recherche au CNRS, Jean-Paul Laumond a effectué l’essentiel de sa carrière au LAAS-CNRS de Toulouse, où il a notamment créé et dirigé l’équipe de recherche Gepetto ainsi que la société Kineo Cam, avant de rejoindre l’équipe Willow du DI/ENS, unité mixte de l’ENS-PSL, du CNRS et d’Inria et de se voir attribuer une des premières Chaires de PRAIRIE en 2019. Il a occupé la Chaire d’innovation technologique Liliane Bettencourt au Collège de France en 2011-2012, et a été élu à l’Académie des Technologies en 2015 et à l’Académie des Sciences en 2017.

Le workshop est organisé par Jean Ponce (Inria/NYU) et Philippe Souères (LAAS-CNRS).

Ce workshop se tiendra au Collège de France le 11 juillet 2022 et s’ouvrira sur une intervention de Stéphane Mallat, professeur au Collège de France, titulaire de la chaire Sciences des données et collègue de Jean-Paul Laumond au sein de PRAIRIE. La liste des conférenciers confirmés inclut Alin Albu-Schäffer (TUM), Daniel Andler (Sorbonne Université et ENS-PSL), Antonio Bicchi (Pise), John Canny (UC Berkeley), Justin Carpentier (Inria), Alessandro De Luca (Sapienza), Ken Goldberg (UC Berkeley), Vincent Hayward (Sorbonne Université), Matt Mason (CMU), Katja Mombaur (Waterloo), Céline Pieters (Vienne), Jean Ponce (Inria), Philippe Souères (LAAS-CNRS) et Eiichi Yoshida (Tokyo University of Science).

Le workshop est financé en partie par PRAIRIE, le Collège de France, le LAAS-CNRS et Paul Jacobs.

INTERVENANTS ET RÉSUMÉS

Programme

Un colloque intitulé : Mythes et Machines — Robotique et Intelligence Artificielle : penser la technologie aujourd’hui se tiendra le 24 novembre à l’auditorium André et Liliane Bettencourt de l’Institut de France.

Organisé par l’Académie des sciences et l’Académie des sciences morales et politiques, en partenariat avec le programme TESaCO et le soutien de l’institut 3IA Prairie, l’objectif du colloque est de faire dialoguer dans un même lieu, scientifiques et chercheurs en sciences humaines pour mieux comprendre comment se forge l’imaginaire collectif, un préalable à tout débat éthique et à toute décision politique sur les enjeux liés aux nouvelles technologies.

Orateurs :

• Daniel ANDLER, Université de Paris-Sorbonne, Académie des sciences morales et politiques
• Stefana BROADBENT, Ecole polytechnique de Milan
• Sébastien CANDEL, CentraleSupélec, Académie des sciences
• Patrick CHASTENET, Université de Bordeaux
• François DELAROZIÈRE, directeur artistique, compagnie La Machine
• Yves FRÉGNAC, CNRS, Unité de Neurosciences, Information et Complexité
• Jean-Paul LAUMOND, CNRS/INRIA, Académie des sciences
• Yann LE CUN, New-York University, Facebook
• Gentiane VENTURE, Université d’agriculture et de technologie de Tokyo et l’AIST

Deux tables rondes sur les thèmes :

• Le mythe de l’imitation du vivant
• Nouvelles technologies et culture contemporaine 

Programme online: https://tinyurl.com/2nvkh6bc

Registration: free entry, but please indicate your name here https://docs.google.com/spreadsheets/d/1AXs9WMRrDSX2RWCidZIY-WpjESTEErLAJbj2l-FhuYs/edit?usp=sharing

(remote attending should be possible; the link will be sent to participants who have indicated their email address in the file above)

*** Argument ***

Language models (such as BERT, GPT3, ChatGPT… and soon GPT4) have deeply changed the landscape of research in natural language processing in recent years. These models have permitted previously unseen results on many tasks and in many languages. At the same time, their internal mechanisms remain rather opaque, and is the subject of intense research (Bertology). This situation raises many questions.

– Can we say that these models ‘understand’ language? And if so, in what way? To what extent?

– What is their interest and their benefits for research outside NLP? For creative work?

– On a practical side, how can we deal with them and/or integrate them into our research, given the computing power required to train them? Have we become dependent on the major (often private) players in the field?

– What are the limits of these models and their potential dangers?

We will probably not have all the answers to these questions on January 11, but this workshop will at least be an opportunity to think about these models, with various actors in the field, both private and public.

*** Programme ***

(presentations will be in English)

* 2 – 2.45pm – Thea Sommeesheild (U. Ca Foscari, Venice):  ”Fair AI for ancient languages: a proposal for dos and don’ts”, presentation following her experience in the framework of the Ithaca project (Thea Sommershield will also give a presentation the day before, more directly dedicated to the Ithaca project, in the framework of the DHAI seminar, https://dhai-seminar.github.io/)

* 2:45 – 3.30pm – Tm Van De Cruys (KU. Leuven, Belgium): Using language models for poetry generation, language models and creation

* 3:30 – 4:15pm – Laurent Daudet and Olga Lopusanschi (LightOn, Paris) “I need my own ! Developing private Large Language Models”, on the development of language models within a start-up like LightOn.

* 4:30 – 5:30pm – Debate on the current situation, research and future of these models. Discussion with the speakers and with Anne Bouverot (Abeona Foundation)

* 5:30pm – Thierry Poibeau : Wrap-up

*** Sponsors ***

Organized with the support of Lattice (https://www.lattice.cnrs.fr/) and of Prairie (https://prairie-institute.fr/)