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VERSION:2.0
PRODID:https://evenements.uqam.ca
X-PUBLISHED-TTL:P1W
BEGIN:VEVENT
UID:31980@https://evenements.uqam.ca
DTSTART:20251204T103000Z
SEQUENCE:4
TRANSP:OPAQUE
URL:https://evenements.uqam.ca/evenements/seminaire-au-dic-is-it-really-eas
 ier-to-build-a-child-ai-than-an-adult-ai-par-emmanuel-dupoux/31980?date=20
 25-12-04_10-30-00
LOCATION:UQAM - Pavillon Président-Kennedy (PK) (201\, avenue du Présiden
 t-Kennedy\, Montréal )
SUMMARY:Séminaire au DIC: «Is it really easier to build a child AI than a
 n adult AI?» par Emmanuel Dupoux
CLASS:PUBLIC
DESCRIPTION:Séminaire ayant lieu dans le cadre du Doctorat en informatique
  cognitive\, en collaboration avec le centre de recherche CRIA      
     \n\n\n \n\n\nTITRE : Is it really easier to build a child AI tha
 n an adult AI?\n\n\n \n\n\nEmmanuel DUPOUX\n\n\nJeudi le 4 décembre 2025
  à 10h30\n\n\nLocal PK-5115 (Il est possible d'y assister en virtuel en 
 vous inscrivant ici)            \n\n\n \n\n\nRÉSUMÉ\n\n\nTh
 is talk reexamines Turing’s proposal to achieve machine intelligence by 
 building an artificial child. With language acquisition as a testbed\, I e
 xamine whether recent advances in self-supervised learning and large langu
 age models applied to child-centered audio or audio/video data take into a
 ccount early phonetic and lexical developmental landmarks in real children
 . Focussing on the issues of robustness and data efficiency in child langu
 age learning\, I will recast the long-standing controversy between statist
 ical learning\, social approaches and nativist hypotheses as an investigat
 ion of inductive biases in AI models in the light of ecologically realisti
 c data. \n\n\n \n\n\nBIOGRAPHIE\n\n\nEmmanuel DUPOUX is Professor at the
  École des Hautes Études en Sciences Sociales (EHESS) and directs the Co
 gnitive Machine Learning team at the Laboratoire de Sciences Cognitives et
  Psycholinguistique (LSCP\, ENS/CNRS/EHESS). He is also a part-time scien
 tist at Meta AI Research. His research focuses on the mechanisms underlyin
 g cognitive and linguistic development in infants\, combining experimental
  psychology\, brain imaging\, and machine learning. He holds a PhD in Cogn
 itive Science (EHESS)\, an MA in Computer Science\, and a BA in Applied Ma
 thematics (ENS). He is recipient of an ERC Advanced Grant and organizer of
  the Zero Resource Speech Challenge\, developing computational approaches 
 to understanding how children learn language from their environment.\n\n\n
  \n\n\nRÉFÉRENCES\n\n\nLavechin\, M.\, de Seyssel\, M.\, Métais\, M.\,
  Metze\, F.\, Mohamed\, A.\, Bredin\, H.\, Dupoux\, E.\, &amp\; Cristia\, 
 A. (2024). Modeling early phonetic acquisition from child-centered audio d
 ata. Cognition\, 245\, 105734.\n\n\nRita\, M.\, Strub\, F.\, Chaabouni\, R
 .\, Michel\, P.\, Dupoux\, E.\, &amp\; Pietquin\, O. (2024). Countering Re
 ward Over-optimization in LLM with Demonstration-Guided Reinforcement Lear
 ning. ACL Findings 2024. \n\n\nRita\, M\, Michel\, P.\, Chaabouni\, R.\, 
 Pietquin\, O.\, Dupoux\, E.\, Strub\, F. (2025). Language Evolution with 
 Deep Learning. Chapter to appear in the Oxford Handbook of Approaches to L
 anguage Evolution\n\n\nBenchekroun\, Y.\, Dervishi\, M.\, Ibrahim\, M.\, G
 aya\, J.-B.\, Martinet\, X.\, Mialon\, G.\, Scialom\, T.\, Dupoux\, E.\, H
 upkes\, D.\, &amp\; Vincent\, P. (2023). WorldSense: A Synthetic Benchmark
  for Grounded Reasoning in Large Language Models. arXiv:2311.15930.\n\n\nP
 oli\, M.\, Schatz\, T.\, Dupoux\, E.\, &amp\; Lavechin\, M. (2025). Modeli
 ng the initial state of early phonetic learning in infants. Language Devel
 opment Research\, 5(1).\n\nMot-clés : Département de Neuroscience\, LLMs
 \, LATECE UQAM INFORMATIQUE\, LATECE\, CRIA\, Sciences cognitives\, Philos
 ophie\, Sciences cognitive\, École de langues\, neurosciences cognitives\
 , Institut des sciences cognitives\, Apprentissage du langage\, sciences d
 u langage\, apprentissage machine\, apprentissage automatique\, apprentiss
 age profond\, langage automatique\, langage cognitif\, Cognition humaine\,
  Cognition\, Intelligence émotionnelle\, Intelligence de la matière\, in
 telligence artificielle\, IA\; intelligence artificielle\; société\, IA\
 , intelligence artificielle\, chatGPT\, enseignement supérieur\, IA\, int
 elligence artificielle\, département de linguistique\, doctorat en psycho
 logie\, département de psychologie\, Faculté des sciences humaines\, Fac
 ulté des sciences de l'UQAM\, Faculté des sciences\, Département d'info
 rmatique\, doctorat en informatique cognitive\, doctorat en informatique\n
 \nPrix : Gratuit\n\n
CATEGORIES:Séminaire,Conférence
DTSTAMP:20261016T114712Z
CREATED:20251001T154356Z
LAST-MODIFIED:20251006T115508Z
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