@inproceedings{clavel-2025-understanding,
    title = "Understanding Social Interactions in the Era of {LLM}s {--} the Challenges of Transparency",
    author = "Clavel, Chlo{\'e}",
    editor = "Cardoso, Henrique Lopes  and
      Sousa-Silva, Rui  and
      Koponen, Maarit  and
      Pareja-Lora, Antonio",
    booktitle = "Proceedings of the 2nd LUHME Workshop",
    month = oct,
    year = "2025",
    address = "Bologna, Italy",
    publisher = "LUHME",
    url = "https://preview.aclanthology.org/ingest-luhme/2025.luhme-1.1/",
    pages = "2--2",
    abstract = "Research on AI and social interaction is not entirely new {---} it falls within the field of social and affective computing, which emerged in the late 1990s. To understand social interactions, the research community has long drawn on both artificial intelligence and social science. In recent years, however, the field has shifted toward a dominant focus on generative large language models (LLMs). These models are undeniably powerful but often opaque. In this talk, I will present our current work on developing machine learning approaches {---} from classical methods to LLMs {---} for modeling the socio-emotional layer of interaction, with a particular focus on improving model transparency. I will also briefly present some of the applications we are developing to support human skill development, particularly in the fields of education and health."
}