Workshops & Seminars

Pr[AI]rie Scientific Workshop

03/04/2024
10h-18h

Venue: 16bis rue de l’Estrapade, 75005 Paris

Workshops & Seminars

Conférence inspirante #3 : IA & Transformation Digitale Responsable, avec Eric Cohen, Président et fondateur de Keyrus

26/02/2024
19h-20:30h

Université Paris Dauphine-PSL, 75016, Paris France

↪️ 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

Workshops & Seminars

DHAI Seminar

6/02/2024
10h-12h

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)

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.

Workshops & Seminars

DHAI Seminar

9/01/2024
10h-12h

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)

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.

Workshops & Seminars

Rencontre-débat sur la régulation de l’Intelligence Artificielle

14/12/2023
18:00-19:30

Ecole Normale Supérieure (salle Jaurès), entrée par le 24 rue Lhomond 75005 Paris

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.

Workshops & Seminars

Workshop on AI and Large Language Models (LLMs) for the Analysis of Large Literary Corpora

05/12/2023
9:45-17:15

Ecole Normale Supérieure, salle Dussane, 45 rue d’Ulm, 75005 Paris, France.

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.

  • 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

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

Workshops & Seminars

ALMAnaCH seminar: “Modelling the past: the use of digital text analysis techniques for historical research”

17/11/2023
11h

Salle C434 & online after signing up

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.

Workshops & Seminars

Dauphine Digital Days 2e édition

20/11/2023 - 22/11/2023

Salle Raymond Aron, Université Paris Dauphine – PSL – Place du Maréchal de Lattre de Tassigny, 75016, Paris France

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

Workshops & Seminars

IABM24

25/03/2024 - 27/03/2024

Maison Minatec – Grenoble

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

Workshops & Seminars

Workshop: “Narratology, Literature & Large Language Models”

28/06/2023
14h - 17h

École normale supérieure, Salle Jaurès, 29 rue d’Ulm 75005 Paris

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.

Workshops & Seminars

Workshop: “AI, Regulation and Decision Making”

27/06/2023
17h - 19h 30

École normale supérieure, Salle Jaurès, 29 rue d’Ulm 75005 Paris

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.

Workshops & Seminars

Beyond Incompatibility: Trade-offs between Mutually Exclusive Fairness Criteria in Machine Learning  and Law

19/04/2023
13h30-15h

Université Paris Dauphine- Room A 711

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

Workshops & Seminars

Forgotten Books. The application of unseen species models to the survival of culture

12/4
17h

65, rue de Richelieu, Paris 2e (salle Léopold-Delisle)

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.

Workshops & Seminars

DHAI Seminar

03/04/2023
12h - 14h

École normale supérieure, 45 rue d’Ulm, 75005 Paris

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)

Workshops & Seminars

La gouvernance des données : premier maillon (juridique) d’une IA socialement acceptable » 

09/03/2023
18:15h

Ecole normale supérieure, Amphithéâtre Jaurès, 29 rue d’Ulm, Paris 5e

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

Workshops & Seminars

Workshop in Honor of Jean-Paul Laumond

11/07/2022

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

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

Workshops & Seminars

Colloque “Mythes et Machines”

24/11/2021

L’auditorium André et Liliane Bettencourt de l’Institut de France.

Inscription: https://www.academie-sciences.fr/fr/Colloques-conferences-et-debats/mythes-et-machines.html

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 
Workshops & Seminars

Workshop “After ChatGPT: where do we stand with language models?”

11/01/2023
14h - 17h30

Ecole normale supérieure, Salle des résistants, RDC, 45 rue d’Ulm 75005 Paris

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/)

Workshops & Seminars

Interplay between AI and mathematical modelling in the post-structural genomics era

20/03/2023 - 24/03/2023

Marseille

The event will bring together experts from the machine learning, mathematical modelling and computational biology communities. The conference will highlight recent developments at the interface of these areas, focusing on protein and nucleic acid sequences, structures and functions. Contributions addressing relevant questions of methodology, applications, and synergies with experimental biology are welcome.

Description and Pre-registration

Deadline December 31, 2022. 

This conference is part of the DaiSB (Directions in AI for Structural Biology) series, which started in 2021. Detailed information about the previous edition can be found here.

Workshops & Seminars

Interdisciplinary Seminar ‘Algorithms and Society’

19/10/2022
15h30 -17h00

Université Paris Dauphine, Room A 707

Frédéric Marty : Artificial intelligence and consumer manipulations: from consumer’s counter algorithms to firm’s self-regulation tools. Frédéric Marty is CNRS research fellow in economics at the GREDEG, Université de Côte d’Azur (Nice). He is Associate fellow in OFCE (Sciences Po. Paris) and CIRANO (Montréal). He currently works on competition law and economics and focuses on IA and market manipulation.

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. Conveners : Thierry Kirat (IRISSO) & Alexis Tsoukiàs (LAMSADE).