Interactive Natural Language Technology for Explainable Artificial Intelligence
Jose M. Alonso (University of Santiago de Compostela)
Senén Barro (University of Santiago de Compostela)
Alberto Bugarín (University of Santiago de Compostela)
Kees van Deemter (Universiteit Utrecht)
Claire Gardent (Centre National de la Recherche Scientifique (CNRS))
Albert Gatt (University of Malta)
Ehud Reiter (University of Aberdeen)
Carles Sierra (Consejo Superior de Investigaciones Científicas CSIC)
Mariët Theune (University of Twente)
Nava Tintarev (TU Delft - Web Information Systems)
Hitoshi Yano (INDRA)
Katarzyna Budzynska (Warsaw University of Technology)
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Abstract
We have defined an interdisciplinary program for training a new generation of researchers who will be ready to leverage the use of Artificial Intelligence (AI)-based models and techniques even by non-expert users. The final goal is to make AI self-explaining and thus contribute to translating knowledge into products and services for economic and social benefit, with the support of Explainable AI systems. Moreover, our focus is on the automatic generation of interactive explanations in natural language, the preferred modality among humans, with visualization as a complementary modality.