Authors:
Urgency of this issue increasingly acknowledged by researchers, technologists, and policymakers
Author discusses both classical, philosophical treatments of ethical issues and the implications in modern, algorithmic systems
Suitable for undergraduate students and for interested and concerned researchers, practitioners, and citizens
Part of the book series: Artificial Intelligence: Foundations, Theory, and Algorithms (AIFTA)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
About this book
Keywords
- Artificial intelligence (AI)
- Morality
- Decision systems
- Ethics
- Human enhancement technologies
- Artificially intelligent systems
- Artificial autonomous systems
- Robots
- Social agents
- Societal Values
- Moral values
- Legal values
Reviews
“The book claims to be suitable for undergraduate students, and interested and concerned researchers, practitioners, and citizens. It will serve these audiences well but would be of equal benefit and importance to policymakers and those making decisions about adopting AI technology who might otherwise be focused on a narrower functional perspective. … Highly recommended for all.” (Nicolas E. Gold, Genetic Programming and Evolvable Machines, Vol. 22, 2021)
“Responsible Artificial Intelligence is a valuable contribution to the debate about AI … at the level of building principled, responsible AI systems, and the use of these systems. The further reading which the book suggests complements this technical monograph with accessible contributions about the nature and future of AI. … If you want to know how a vision for responsible AI systems in the European fashion can be built from values, read this book.” (Neil Yorke-Smith, Prometheus, September, 2020)
Authors and Affiliations
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Department of Computing Science, Umeå University, Umeå, Sweden
Virginia Dignum
About the author
Bibliographic Information
Book Title: Responsible Artificial Intelligence
Book Subtitle: How to Develop and Use AI in a Responsible Way
Authors: Virginia Dignum
Series Title: Artificial Intelligence: Foundations, Theory, and Algorithms
DOI: https://doi.org/10.1007/978-3-030-30371-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-30370-9Published: 13 November 2019
Softcover ISBN: 978-3-030-30373-0Published: 13 November 2020
eBook ISBN: 978-3-030-30371-6Published: 04 November 2019
Series ISSN: 2365-3051
Series E-ISSN: 2365-306X
Edition Number: 1
Number of Pages: VIII, 127
Number of Illustrations: 3 b/w illustrations, 19 illustrations in colour
Topics: Artificial Intelligence, Business Ethics, Moral Philosophy and Applied Ethics, Theory and Method in Social Work