General information
Organisation
The French Alternative Energies and Atomic Energy Commission (CEA) is a key player in research, development and innovation in four main areas :
• defence and security,
• nuclear energy (fission and fusion),
• technological research for industry,
• fundamental research in the physical sciences and life sciences.
Drawing on its widely acknowledged expertise, and thanks to its 16000 technicians, engineers, researchers and staff, the CEA actively participates in collaborative projects with a large number of academic and industrial partners.
The CEA is established in ten centers spread throughout France
Reference
SL-DRT-24-0525
Direction
DRT
Thesis topic details
Category
Technological challenges
Thesis topics
Generative artificial intelligence algorithms for understanding and countering online polarization
Contract
Thèse
Job description
Digital platforms enable the widespread dissemination of information, but their engagement-centric business models often promote the spread of ideologically homogeneous or controversial political content. These models can lead to the polarization of political opinions and impede the healthy functioning of democratic systems. The PhD will investigate innovative generative AI models devised for a deep understanding of political polarization and for countering its effects. It will mobilize several areas of AI: generative learning, frugal AI, continual learning, and multimedia learning. Advances will be associated with the following challenges:
-the modeling of political polarization, and the translation of the obtained domain model into actionable implementation requirements that will be used as inputs of AI algorithms;
-the curation of massive and diversified multimodal political data to ensure topical and temporal coverage, and to map these data to a common semantic representation space;
-the training of politics-oriented generative models to encode relevant knowledge effectively and efficiently and to generate labeled training data for downstream tasks;
-the specialization of the models for the specific tasks needed for a fine-grained understanding of polarization (topic detection, entity recognition, sentiment analysis);
-the continual update of the politics-oriented generative models and polarization-specific tasks to keep pace with the evolution of political events and news.
University / doctoral school
Sciences et Technologies de l’Information et de la Communication (STIC)
Paris-Saclay
Thesis topic location
Site
Saclay
Requester
Position start date
01/10/2024
Person to be contacted by the applicant
TOURILLE Julien julien.tourille@cea.fr
CEA
DRT/DIASI/SIALV/LASTI
CEA Saclay Nano-INNOV
DRT/LIST/DIASI/SIALV/LASTI
F-91191 Gif-sur-Yvette Cedex
Tutor / Responsible thesis director
POPESCU Adrian adrian.popescu@cea.fr
CEA
DRT/DIASI//LASTI
CEA SACLAY - NANO INNOV
BAT. 861
Point courier 173
91191 GIF SUR YVETTE
0169080154
En savoir plus
https://kalisteo.cea.fr/index.php/ai/