NEUROSCIENCE
& ARTIFICIAL INTELLIGENCE

MECHANISMS, PERSPECTIVES & CONSEQUENCES

23-24 May 2024, Bordeaux

NEUROSCIENCE
& ARTIFICIAL INTELLIGENCE

MECHANISMS, PERSPECTIVES & CONSEQUENCES

23-24 May 2024, Bordeaux

Foreword

Artificial intelligence (AI), which is based on artificial neural networks with learning capabilities initially inspired by the functioning of the nervous system, has made significant progress in recent decades, and is playing an increasingly important role in technological development in a wide range of fields (human-machine interaction in many industries: telephony and office automation, home automation, automobile, defence, health, etc.). 

Neuroscience has long been a key driver of advances in artificial intelligence (AI). Conversely, the models used in AI are used to understand how the brain works. However, the structure of the networks and the learning mechanisms currently used remain far from the principles observed experimentally. Developments of artificial systems towards forms more inspired by biology could improve the capacity of algorithms. On the other hand, a better understanding of the network mechanisms involved in AI could benefit both their development but also a better understanding of the functioning of the human brain. Neuroscience can therefore play an important role in accelerating the progress of AI and realizing its vast potential. However, the development of AI-type capabilities is also likely to raise serious ethical and societal issues, impacting on human creativity, economic growth, employment, the place of machines in society as well as their potential autonomy. 

The first day of this meeting will be dedicated to the study of the network mechanisms involved in artificial networks and the underlying learning mechanisms. The second day will be dedicated to the societal consequences and ethical perspectives of the development of AI in our societies.

Arthur Leblois, Emmanuel Procyk & Nicolas Rougier, coordinators

Program

23 May 2024

9:00 – 10:00 · Conference

Omri Barak (Technion Israel Institute of Technology, Israel)

Learning from learning systems (abstract)

10:00 – 10:30 · Coffee break

10:30 – 12:30 · SESSION 1 – Learning modalities in artificial neural networks

Rufin VanRullen (Artificial & Natural Intelligence Toulouse Institute, CerCo, CNRS UMR 5549, Toulouse)

Multimodal deep learning through a Global Workspace (abstract)

Alexis Dubreuil (Institute of Neurodegenerative Diseases, CNRS, UMR 5293, University of Bordeaux, Bordeaux)

Reverse-engineering artificial neural networks for investigating principles of neural computations

Dan Goodman (University College of London, United Kingdom)

Structural and functional modularity in neural networks

Chris Summerfield (Human Information Processing Lab, University of Oxford, United Kingdom)

Zero-shot navigation with deep RL (abstract)

12:30 – 14:00 · Lunch

14:00 – 15:30 · SESSION 2 – Confronting artificial networks to cognitive and neural data

Jean-Rémi King (Laboratoire des systèmes perceptifs, ENS, Paris)

Language in the brain and algorithms

Anthony Strock (Menon Lab, Stanford, Palo Alto, USA)

Development of number sense in deep neural networks (abstract)

Anne Collins (Psychology Department, UC Berkeley, USA)

Insights from cognitive sciences into fast and flexible learning

15:30 – 16:00 · Coffee break

16:00 – 17:00 · Roundtable discussion about network mechanisms

17:00 – 19:00 · Poster session

24 May 2024

9:00 – 10:00 · Alfred Fessard Lecture

Simon Thorpe (CerCo, CNRS UMR 5549, Toulouse)

Neuroscience and AI – What can AI learn from how the brain computes? (abstract)

10:00 – 10:30 · Coffee break

10:30 – 12:30 · Roundtable discussion about ethics

Chaired by Cédric Brun (Institute of Neurodegenerative Diseases, CNRS, UMR 5293, University of Bordeaux, Bordeaux)

Contributors
Michèle Barbier (European projects Manager, H2020 SimCardioTest and EITHealth in EurHeart, Inria Sophia Antipolis Méditerrannée)
Raja Chatila (Professor of Artificial Intelligence, Robotics and Ethics at ISIR, Sorbonne University, Paris)
Romain Sidobre (Ethical and Responsible AI operational coordinator at Orange, Issy-les-Moulineaux)

12:30 – 13:30 · Lunch

13:30 – 14:00 · General Assembly of the French Neuroscience Society

14:00 – 16:00 · Roundtable discussion about societal perspectives

Chaired by Mehdi Khamassi (ISIR, CNRS UMR 7222, Sorbonne University, Paris)

Contributors
Chloé Clavel (Professor and researcher at Télécom Paris, Paris)
Simon Thorpe (Research Director at CerCo, CNRS UMR 5549, Toulouse)
Natacha Vas-Deyres (Associate Professor of literature, essayist specialising in science fiction, Bordeaux)

16:00 – 16:15 · Closing remarks

Registration & abstract submission

Abstract submission deadline: 30 April 2024

Registration deadline: 7 May 2024

Please note that the maximum capacity for this meeting is 150 participants (first-come, first-served basis).

Not yet member of the French Neuroscience Society? Join us now and benefit from reduced registration fees at the meeting.

Early-bird registration until 31 March 2024 included

Student/ Post-doc member

90 €

Academic member

150 €

Non member

300 €

Late registration starting 1st April 2024 until 7 May 2024

Student/ Post-doc member

120 €

Academic member

180 €

Non member

300 €

VAT not applicable, article 293B of the CGI

Registration fees include access to the conference, lunches and coffee breaks.

Venue

Block

Centre Broca Nouvelle-Aquitaine

146 rue Léo-Saignat, 33076 Bordeaux Cedex
France

Plan Neurocampus

FROM BORDEAUX AIRPORT

FROM GARE SAINT-JEAN

Bordeaux Neurocampus - Université de Bordeaux
Inria
Chen Institute
Fondation Recherche Alzheimer
CASDEN_BP
France-Alzheimer