@inbook{3cf175c621f6440e88fe65ee24169c08,
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.keywordsexplainable artificial intelligencetrustworthinessmulti-modal explanationsargumentative conversational agentshuman-centered modelinghuman-machine persuasive interaction.",
author = "Alonso, {Jos{\'e} Maria} and Sen{\'e}n Barro and Alberto Bugarin 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 = "Funding Information: Acknowledgment. The NL4XAI project has received funding from the European Union{\textquoteright}s Horizon 2020 research and innovation programme under the Marie Sk lodowska-Curie Grant Agreement No. 860621. Funding Information: 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 nonexpert 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 Supported by the European Union{\textquoteright}s Horizon 2020 research and innovation programme under the Marie Sk lodowska-Curie grant agreement No 860621. Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; TAILOR: International Workshop on the Foundations of Trustworthy AI Integrating Learning, Optimization and Reasoning : First International Workshop, TAILOR 2020, Virtual Event, TAILOR 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",
publisher = "Springer, Cham",
pages = "63--70",
editor = "Fredrik Heintz and Michela Milano and Barry O'Sullivan",
booktitle = "Trustworthy AI - Integrating Learning, Optimization and Reasoning",
address = "Switzerland",
}