Responsible Artificial Intelligence

How to Develop and Use AI in a Responsible Way

  • Virginia Dignum

Table of contents

  1. Front Matter
    Pages i-viii
  2. Virginia Dignum
    Pages 1-7
  3. Virginia Dignum
    Pages 9-34
  4. Virginia Dignum
    Pages 35-46
  5. Virginia Dignum
    Pages 47-69
  6. Virginia Dignum
    Pages 71-92
  7. Virginia Dignum
    Pages 93-105
  8. Virginia Dignum
    Pages 107-120
  9. Back Matter
    Pages 121-127

About this book


In this book, the author examines the ethical implications of Artificial Intelligence systems as they integrate and replace traditional social structures in new sociocognitive-technological environments. She discusses issues related to the integrity of researchers, technologists, and manufacturers as they design, construct, use, and manage artificially intelligent systems; formalisms for reasoning about moral decisions as part of the behavior of artificial autonomous systems such as agents and robots; and design methodologies for social agents based on societal, moral, and legal values. 

Throughout the book the author discusses related work, conscious of both classical, philosophical treatments of ethical issues and the implications in modern, algorithmic systems, and she combines regular references and footnotes with suggestions for further reading. This short overview is suitable for undergraduate students, in both technical and non-technical courses, and for interested and concerned researchers, practitioners, and citizens.


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

Authors and affiliations

  • Virginia Dignum
    • 1
  1. 1.Department of Computing ScienceUmeå UniversityUmeåSweden

Bibliographic information

  • DOI
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-30370-9
  • Online ISBN 978-3-030-30371-6
  • Series Print ISSN 2365-3051
  • Series Online ISSN 2365-306X
  • Buy this book on publisher's site
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