AI and cognition
Researchers interested in links between artificial intelligence and cognition, including computational modeling and AI-based approaches to language, perception, memory, and social skills.
Workshop in Grenoble | October 14-15, 2026
Developmental AI for Language and Cognition
A two-half-day workshop connecting AI, NLP, speech and multimodal processing, robotics, cognitive science, and developmental science.
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Workshop on Developmental AI
We are pleased to announce a workshop on Developmental AI for language and cognition in Grenoble, France, co-organized within the framework of the DevAI&Speech Chair of the MIAI Cluster IA and the NLP&Cognition group of the CNRS GDR TAL, in connection with the GDR BabyLab national French meeting.
The initiative is designed to foster interactions between communities studying artificial intelligence, cognition, language, and early cognitive development.
The Developmental AI workshop will be followed in Grenoble by the GDR BabyLab national meeting, making it possible for participants from both communities to attend both events.
Institutional partners
Co-organized and supported by
Joint initiative
Two complementary research communities
Participants from both communities are welcome to attend both events. The Developmental AI workshop will be directly followed by the national meeting of the GDR BabyLab, also taking place in Grenoble.
Developmental science
Researchers studying early cognitive development with infants and young children using experimental methods in laboratory and ecological settings.
Keynote speakers
Invited keynote talks
Two keynote talks are planned for the workshop. The first keynote speaker has been confirmed; further details will be announced soon.
Keynote speaker 1
Prof. Afra Alishahi
Tilburg University
Provisional title
Are computational cognitive models of human language still relevant?
Bio
Afra Alishahi is a Professor of Computational Linguistics at the Department of Computational Cognitive Science, Tilburg University. Her research interests revolve around building and using computational models of human language acquisition. In recent years, her research has focused on grounded language learning from audio-visual signals, learning through interaction, and analyzing and interpreting emerging linguistic knowledge in deep neural networks.
Photo
Keynote speaker 2
To be announced
Bio
To be announced.
Abstract
To be announced.
Program
Program to be announced
The detailed schedule will be shared after keynote confirmation and abstract selection.
Wednesday, October 14, 2026
Afternoon session to be announced
Thursday, October 15, 2026
Morning session to be announced
Submissions
Call for Contributions / Papers
Participants are invited to submit a 1-page abstract, which may be selected for an oral presentation or a poster presentation.
Abstract submission deadline:
Sunday, September 20, 2026.
Submission by email: please send your 1-page PDF abstract to thomas.hueber@grenoble-inp.fr.
Submission by email: please send your 1-page PDF abstract to thomas.hueber@grenoble-inp.fr.
Developmentally Inspired AI and Machine Learning
Computational approaches inspired by cognitive development, lifelong learning, intrinsic motivation, curiosity-driven exploration, play, and active learning.
Embodied, Multimodal, and Social Learning
Embodied learning in biological systems and robots, multimodal perception and interaction, body knowledge, affordance perception, and communicative learning.
Language, Speech, and Cognitive Development
Computational modeling of language, speech, perceptual, motor, and cognitive skill acquisition in humans and artificial agents.
Human-Inspired Constraints for AI and NLP
Inductive biases, multimodality, social interaction, and perceptual or memory constraints from human learning to improve robustness and generalization.
AI Models as Tools for Cognitive Science
NLP, generative AI, and multimodal models used to test hypotheses about cognition, syntax, semantics, speech perception, communication, and social interaction.
Behavioral Experiments and Computational Modeling
Cross-disciplinary studies combining developmental psychology or cognitive science experiments with AI-based computational modeling.
Registration
Register for the workshop
Please register for the Developmental AI workshop and indicate whether you will attend the workshop meal. Dietary preferences are collected only for meal planning.
The workshop is free of charge, but registration is mandatory.
Registration for the GDR BabyLab meeting will be announced separately.
Contact
Organizing contacts
Thomas HUEBER
GIPSA-lab, Grenoble
Mathilde Fort
LPNC, Grenoble
Abdellah Fourtassi
LIS, Marseille