Artificial Intelligence (AI), understood broadly, is at the heart of a scientifical, technological and societal revolution. It consists in the unfolding of large-scale algorithms which learn to simulate some cognitive functions, and sometimes aims at replacing humans at numerous tasks requiring high-level cognitive functions (language, perception, action, decision, etc.). To what extent are AI models valid for the study of cognition and learning? How can cognitive science data inspire novel algorithms? How reliable are algorithms replacing humans? What consequences for the imbrication of man and machine in tomorrow’s society? The aim of this conference is to examine into more details the links between AI and cognition: it will bring together machine learning and cognitive science actors from both theoretical and applied research.


It will come in three parts.


The scientific part will focus on language, one of AI’s current key challenges, and will examine how research on child language development interacts with research on automated language learning.


The part oriented towards industrial applications will approach three themes within round tables gathering researchers, major groups as well as small and medium businesses. The first theme will address the development and usage of conversational agents (panel “chatbots”). The second will address the interactions between the study of human learning and the development of educative agents or games (panel “education”). The last one will center on the neuroscientific aspects of learning, especially issues involving brain-machine interfaces (panel “brain training & interfaces”).


Finally, the conference will end by an interactive public debate. Based on conclusions from the two first parts, this debate - which will bring together leading figures of the scientific, industrial and politic worlds - will approach the major challenges for society.

Online user: 1