Interactive Natural Language Technology for Explainable Artificial Intelligence

Jose M.  Alonso; Senén  Barro; Alberto  Bugarín; Kees  van Deemter; Claire  Gardent; Albert  Gatt; Ehud  Reiter; Carles  Sierra; Mariët Theune; Nava Tintarev; Hitoshi  Yano; Katarzyna  Budzynska

doi:10.1007/978-3-030-73959-1_5

Interactive Natural Language Technology for Explainable Artificial Intelligence

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

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Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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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.

Original language	English
Title of host publication	Trustworthy AI – Integrating Learning, Optimization and Reasoning - First International Workshop, TAILOR 2020, Revised Selected Papers
Editors	Fredrik Heintz, Michela Milano, Barry O’Sullivan
Place of Publication	Cham
Publisher	Springer
Pages	63-70
Number of pages	8
ISBN (Electronic)	978-3-030-73959-1
ISBN (Print)	978-3-030-73958-4
DOIs	https://doi.org/10.1007/978-3-030-73959-1_5
Publication status	Published - 2021
Event	1st 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 2020 → 5 Sept 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12641
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	1st International Workshop on Trustworthy AI – Integrating Learning, Optimization and Reasoning, TAILOR 2020 held as a part of European Conference on Artificial Intelligence, ECAI 2020
City	Virtual, Online
Period	4/09/20 → 5/09/20

Bibliographical note

Accepted Author Manuscript

Keywords

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

Access to Document

10.1007/978-3-030-73959-1_5

NL4XAI_TAILOR2020_springerAccepted author manuscript, 361 KB

Cite this

Alonso, J. M., Barro, S., Bugarín, A., van Deemter, K., Gardent, C., Gatt, A., Reiter, E., Sierra, C., Theune, M., Tintarev, N., Yano, H., & Budzynska, K. (2021). Interactive Natural Language Technology for Explainable Artificial Intelligence. In F. Heintz, M. Milano, & B. O’Sullivan (Eds.), Trustworthy AI – Integrating Learning, Optimization and Reasoning - First International Workshop, TAILOR 2020, Revised Selected Papers (pp. 63-70). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12641 ). Springer. https://doi.org/10.1007/978-3-030-73959-1_5

Alonso, Jose M. ; Barro, Senén ; Bugarín, Alberto et al. / Interactive Natural Language Technology for Explainable Artificial Intelligence. Trustworthy AI – Integrating Learning, Optimization and Reasoning - First International Workshop, TAILOR 2020, Revised Selected Papers. editor / Fredrik Heintz ; Michela Milano ; Barry O’Sullivan. Cham : Springer, 2021. pp. 63-70 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Interactive Natural Language Technology for Explainable Artificial Intelligence",

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.",

keywords = "Argumentative conversational agents, Explainable Artificial Intelligence, Human-centered modeling, Human-machine persuasive interaction, Multi-modal explanations, Trustworthiness",

author = "Alonso, {Jose M.} and Sen{\'e}n Barro and Alberto Bugar{\'i}n and {van Deemter}, Kees and Claire Gardent and Albert Gatt and Ehud Reiter and Carles Sierra and Mari{\"e}t Theune and Nava Tintarev and Hitoshi Yano and Katarzyna Budzynska",

note = "Accepted Author Manuscript ; 1st International Workshop on Trustworthy AI – Integrating Learning, Optimization and Reasoning, TAILOR 2020 held as a part of European Conference on Artificial Intelligence, ECAI 2020 ; Conference date: 04-09-2020 Through 05-09-2020",

year = "2021",

doi = "10.1007/978-3-030-73959-1_5",

language = "English",

isbn = "978-3-030-73958-4",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer",

pages = "63--70",

editor = "Fredrik Heintz and Michela Milano and Barry O{\textquoteright}Sullivan",

booktitle = "Trustworthy AI – Integrating Learning, Optimization and Reasoning - First International Workshop, TAILOR 2020, Revised Selected Papers",

}

Alonso, JM, Barro, S, Bugarín, A, van Deemter, K, Gardent, C, Gatt, A, Reiter, E, Sierra, C, Theune, M, Tintarev, N, Yano, H & Budzynska, K 2021, Interactive Natural Language Technology for Explainable Artificial Intelligence. in F Heintz, M Milano & B O’Sullivan (eds), Trustworthy AI – Integrating Learning, Optimization and Reasoning - First International Workshop, TAILOR 2020, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12641 , Springer, Cham, pp. 63-70, 1st 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, 4/09/20. https://doi.org/10.1007/978-3-030-73959-1_5

Interactive Natural Language Technology for Explainable Artificial Intelligence. / Alonso, Jose M. ; Barro, Senén ; Bugarín, Alberto et al.
Trustworthy AI – Integrating Learning, Optimization and Reasoning - First International Workshop, TAILOR 2020, Revised Selected Papers. ed. / Fredrik Heintz; Michela Milano; Barry O’Sullivan. Cham: Springer, 2021. p. 63-70 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12641 ).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Interactive Natural Language Technology for Explainable Artificial Intelligence

AU - Alonso, Jose M.

AU - Barro, Senén

AU - Bugarín, Alberto

AU - van Deemter, Kees

AU - Gardent, Claire

AU - Gatt, Albert

AU - Reiter, Ehud

AU - Sierra, Carles

AU - Theune, Mariët

AU - Tintarev, Nava

AU - Yano, Hitoshi

AU - Budzynska, Katarzyna

N1 - Accepted Author Manuscript

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - Argumentative conversational agents

KW - Explainable Artificial Intelligence

KW - Human-centered modeling

KW - Human-machine persuasive interaction

KW - Multi-modal explanations

KW - Trustworthiness

UR - http://www.scopus.com/inward/record.url?scp=85105935557&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-73959-1_5

DO - 10.1007/978-3-030-73959-1_5

M3 - Conference contribution

AN - SCOPUS:85105935557

SN - 978-3-030-73958-4

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 63

EP - 70

BT - Trustworthy AI – Integrating Learning, Optimization and Reasoning - First International Workshop, TAILOR 2020, Revised Selected Papers

A2 - Heintz, Fredrik

A2 - Milano, Michela

A2 - O’Sullivan, Barry

PB - Springer

CY - Cham

T2 - 1st International Workshop on Trustworthy AI – Integrating Learning, Optimization and Reasoning, TAILOR 2020 held as a part of European Conference on Artificial Intelligence, ECAI 2020

Y2 - 4 September 2020 through 5 September 2020

ER -

Alonso JM, Barro S, Bugarín A, van Deemter K, Gardent C, Gatt A et al. Interactive Natural Language Technology for Explainable Artificial Intelligence. In Heintz F, Milano M, O’Sullivan B, editors, Trustworthy AI – Integrating Learning, Optimization and Reasoning - First International Workshop, TAILOR 2020, Revised Selected Papers. Cham: Springer. 2021. p. 63-70. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-73959-1_5

Interactive Natural Language Technology for Explainable Artificial Intelligence

Abstract

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Bibliographical note

Keywords

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