Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12641)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Conference series link(s): TAILOR: International Workshop on the Foundations of Trustworthy AI Integrating Learning, Optimization and Reasoning
Conference proceedings info: TAILOR 2020.
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Table of contents (23 papers)
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Front Matter
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Trustworthy AI
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Front Matter
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Acting and Optimizing
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Front Matter
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About this book
This book constitutes the thoroughly refereed conference proceedings of the First International Workshop on the Foundation of Trustworthy AI - Integrating Learning, Optimization and Reasoning, TAILOR 2020, held virtually in September 2020, associated with ECAI 2020, the 24th European Conference on Artificial Intelligence.
The 11 revised full papers presented together with 6 short papers and 6 position papers were reviewed and selected from 52 submissions. The contributions address various issues for Trustworthiness, Learning, reasoning, and optimization, Deciding and Learning How to Act, AutoAI, and Reasoning and Learning in Social Contexts.Keywords
- artificial intelligence
- computer networks
- computer science
- computer systems
- computer vision
- correlation analysis
- deep learning
- education
- engineering
- evolutionary algorithms
- genetic algorithms
- internet
- learning
- linguistics
- machine learning
- mathematics
- multiagent system
- neural networks
- semantics
- signal processing
Editors and Affiliations
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Department of Computer and Information Science, Linköping University, Linköping, Sweden
Fredrik Heintz
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ALMA-AI Research Institute on Human-Centered AI, University of Bologna, Bologna, Italy
Michela Milano
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Department of Computer Science, University College Cork, Cork, Ireland
Barry O'Sullivan
Bibliographic Information
Book Title: Trustworthy AI - Integrating Learning, Optimization and Reasoning
Book Subtitle: First International Workshop, TAILOR 2020, Virtual Event, September 4–5, 2020, Revised Selected Papers
Editors: Fredrik Heintz, Michela Milano, Barry O'Sullivan
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-73959-1
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-73958-4Published: 13 April 2021
eBook ISBN: 978-3-030-73959-1Published: 12 April 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 278
Number of Illustrations: 19 b/w illustrations
Topics: Artificial Intelligence, Algorithm Analysis and Problem Complexity, Computer Appl. in Social and Behavioral Sciences, Computers and Education, Information Systems Applications (incl. Internet), Software Engineering/Programming and Operating Systems