Interactive Natural Language Technology for Explainable Artificial Intelligence

Conference paper (2021)

Authors

Jose M. Alonso University of Santiago de Compostela
Senén Barro University of Santiago de Compostela
Hitoshi Yano INDRA
Katarzyna Budzynska Warsaw University of Technology
Alberto Bugarín University of Santiago de Compostela
Kees van Deemter Universiteit Utrecht
Albert Gatt University of Malta
Ehud Reiter University of Aberdeen
Carles Sierra Spanish National Research Council
Mariët Theune University of Twente
N. Tintarev Web Information Systems - EEMCS
Research Group
Web Information Systems (EEMCS) (TU Delft)
Copyright: © 2021 Jose M. Alonso, Senén Barro, Alberto Bugarín, Kees van Deemter, Claire Gardent, Albert Gatt, Ehud Reiter, Carles Sierra, Mariët Theune, N. Tintarev, Hitoshi Yano, Katarzyna Budzynska
DOI
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https://doi.org/10.1007/978-3-030-73959-1_5
Explainable Artificial Intelligence Trustworthiness Argumentative conversational agents Human-centered modeling Human-machine persuasive interaction Multi-modal explanations
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Published Date

2021

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Software Technology

Research Group

Web Information Systems

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.