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Interactive Natural Language Technology for Explainable Artificial Intelligence

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Trustworthy AI - Integrating Learning, Optimization and Reasoning (TAILOR 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12641))

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.

Supported by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 860621.

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Notes

  1. 1.

    https://claire-ai.org/.

  2. 2.

    https://liu.se/en/research/tailor.

  3. 3.

    https://www.ai4eu.eu/.

  4. 4.

    https://nl4xai.eu/.

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Acknowledgment

The NL4XAI project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 860621.

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Authors and Affiliations

  1. Centro Singular de Investigación en Tecnoloxías Intelixentes (CiTIUS), Universidade de Santiago de Compostela, Santiago de Compostela, Spain

    Jose M. Alonso, Senén Barro & Alberto Bugarín

  2. Universiteit Utrecht, Utrecht, Netherlands

    Kees van Deemter

  3. Lorraine Research Laboratory in Computer Science and its Applications (LORIA), Centre National de la Recherche Scientifique (CNRS), Nancy, France

    Claire Gardent

  4. Institute of Linguistics and Language Technology, University of Malta (UM), Msida, Malta

    Albert Gatt

  5. Department of Computing Science, University of Aberdeen (UNIABDN), Aberdeen, Scotland

    Ehud Reiter

  6. Artificial Intelligence Research Institute (IIIA), Spanish National Research Council (CSIC), Bellaterra, Spain

    Carles Sierra

  7. Human Media Interaction, Universiteit Twente (UTWENTE), Enschede, Netherlands

    Mariët Theune

  8. Department of Software Technology, Technische Universiteit Delft (TU Delft), Delft, Netherlands

    Nava Tintarev

  9. MINSAIT, INDRA, Madrid, Spain

    Hitoshi Yano

  10. Laboratory of The New Ethos, Warsaw University of Technology, Warsaw, Poland

    Katarzyna Budzynska

Authors
  1. Jose M. Alonso
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  2. Senén Barro
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  3. Alberto Bugarín
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  4. Kees van Deemter
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  5. Claire Gardent
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  6. Albert Gatt
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  7. Ehud Reiter
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  8. Carles Sierra
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  9. Mariët Theune
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  10. Nava Tintarev
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  11. Hitoshi Yano
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  12. Katarzyna Budzynska
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Corresponding author

Correspondence to Jose M. Alonso .

Editor information

Editors and Affiliations

  1. Department of Computer and Information Science, Linköping University, Linköping, Sweden

    Fredrik Heintz

  2. ALMA-AI Research Institute on Human-Centered AI, University of Bologna, Bologna, Italy

    Michela Milano

  3. Department of Computer Science, University College Cork, Cork, Ireland

    Barry O'Sullivan

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Alonso, J.M. et al. (2021). Interactive Natural Language Technology for Explainable Artificial Intelligence. In: Heintz, F., Milano, M., O'Sullivan, B. (eds) Trustworthy AI - Integrating Learning, Optimization and Reasoning. TAILOR 2020. Lecture Notes in Computer Science(), vol 12641. Springer, Cham. https://doi.org/10.1007/978-3-030-73959-1_5

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