Conférences  >  Informatique  >  Mise en œuvre et applications de l'intelligence artificielle  >  Allemagne

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

The objective of this workshop is to bring together researchers, practitioners, and experts in the field of explainable AI to collaboratively develop reusable experiment designs. Evaluating explainability methods is something that has not been standardized by the community, meaning each author must develop and justify their own approaches. This reduces the abilities of researchers to publish their findings, which can also hinder progress in this space.

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

In a little over a year since the release of ChatGPT, language models (LMs) have stirred concerns in government, over the possibility that citizens will come to believe the textual and spoken output of such models. Similarly, they have caused panic in education, forcing a rethink of what students are learning and how to assess it. Of concern to us here, is whether LMs mean the end of computational and/or cognitive models of human language learning and language use. Does the practical success of LMs mean that computational linguistics (and perhaps even linguistics itself) is no longer relevant? Or are we missing problems with LMs that computational linguistics (and linguistics more generally) could help us both recognize and surmount?

Réseaux de neurones et intelligence artificielle, apprentissage automatique,    Traitement automatique des langues, Linguistique informatique

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Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH