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 |
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Title of host publication | Trustworthy AI – Integrating Learning, Optimization and Reasoning |
Subtitle of host publication | First International Workshop, TAILOR 2020, Revised Selected Papers |
Editors | Fredrik Heintz, Michela Milano, Barry O’Sullivan |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 63-70 |
Number of pages | 8 |
ISBN (Print) | 9783030739584 |
DOIs | |
Publication status | Published - 13 Apr 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) |
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Volume | 12641 LNAI |
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 |
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City | Virtual, Online |
Period | 4/09/20 → 5/09/20 |
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