Interactive Natural Language Technology for Explainable Artificial Intelligence

Jose M. Alonso* (Corresponding Author), Senén Barro, Alberto Bugarín, Kees van Deemter, Claire Gardent, Albert Gatt, Ehud Reiter, Carles Sierra, Mariët Theune, Nava Tintarev, Hitoshi Yano, Katarzyna Budzynska

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationTrustworthy AI – Integrating Learning, Optimization and Reasoning
Subtitle of host publication First International Workshop, TAILOR 2020, Revised Selected Papers
EditorsFredrik Heintz, Michela Milano, Barry O’Sullivan
PublisherSpringer Science and Business Media Deutschland GmbH
Pages63-70
Number of pages8
ISBN (Print)9783030739584
DOIs
Publication statusPublished - 13 Apr 2021
Event1st International Workshop on Trustworthy AI – Integrating Learning, Optimization and Reasoning, TAILOR 2020 held as a part of European Conference on Artificial Intelligence, ECAI 2020 - Virtual, Online
Duration: 4 Sept 20205 Sept 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12641 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Workshop on Trustworthy AI – Integrating Learning, Optimization and Reasoning, TAILOR 2020 held as a part of European Conference on Artificial Intelligence, ECAI 2020
CityVirtual, Online
Period4/09/205/09/20

Bibliographical note

Funding Information:
Acknowledgment. The NL4XAI project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sk lodowska-Curie Grant Agreement No. 860621.

Keywords

  • Argumentative conversational agents
  • Explainable Artificial Intelligence
  • Human-centered modeling
  • Human-machine persuasive interaction
  • Multi-modal explanations
  • Trustworthiness

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