Humor is a multimodal phenomenon in which visual and/or auditory dimensions can contribute to the creation of a humorous effect. Because it relies on discrepancies, implicit meanings, or ambiguities, humor is a complex linguistic phenomenon that poses challenges for natural language processing. It can also develop in nonverbal ways: through images or physical performances. Humor is also a phenomenon rooted in different social contexts. For AI models, these multiple contexts pose challenges in understanding humor, analyzing it, modeling it, and generating it automatically. This event will be a unique opportunity for interdisciplinary exchanges on humor and artificial intelligence. 

• Marine Delaborde (LT2D, CY Cergy Paris Université)
• Mathieu Dehouck (LATTICE, CNRS)
• Boris Borzic (ETIS, CY Cergy Paris Université)
• Michele Linardi (ETIS, CY Cergy Paris Université)
• Julien Longhi (AGORA, CY Cergy Paris Université)

• CY Advanced Sudies
• LATTICE (UMR 8094)
• Projets : 
  • CPJ
  • STREAMédia
  • DémoCIS