Skip to main content
Book cover
  • Book
  • © 2021

Algorithmic Governance and Governance of Algorithms

Legal and Ethical Challenges

Editors:

  1. Martin Ebers

    1. Humboldt University of Berlin, Law Faculty, Berlin, Germany
      University of Tartu, School of Law, Tartu, Estonia

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Marta Cantero Gamito

    1. University of Tartu, School of Law, Tartu, Estonia
      CUNEF, Law Department, Madrid, Spain

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Presents an up-to-date overview of critical topics for AI

  • Deals with ethical issues and normative accounts of technology

  • Offers international perspectives on the regulation of robotic technologies

Part of the book series: Data Science, Machine Intelligence, and Law (DSMIL, volume 1)

Sections

eBook USD 119.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-50559-2
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 159.99
Price excludes VAT (USA)
Hardcover Book USD 159.99
Price excludes VAT (USA)
Learn about institutional subscriptions

This is a preview of subscription content, access via your institution.

Table of contents (8 chapters)

  1. Front Matter

    Pages i-ix
    PDF

  2. Algorithmic Governance and Governance of Algorithms: An Introduction

    • Marta Cantero Gamito, Martin Ebers
    Pages 1-22
Back to top

About this book

Algorithms are now widely employed to make decisions that have increasingly far-reaching impacts on individuals and society as a whole (“algorithmic governance”), which could potentially lead to manipulation, biases, censorship, social discrimination, violations of privacy, property rights, and more. This has sparked a global debate on how to regulate AI and robotics (“governance of algorithms”). This book discusses both of these key aspects: the impact of algorithms, and the possibilities for future regulation.
Back to top

Keywords

  • Artificial intelligence
  • Algorithmic governance
  • Governance of algorithms
  • Automated decision-making
  • Machine learning
Back to top

Editors and Affiliations

  • Humboldt University of Berlin, Law Faculty, Berlin, Germany

    Martin Ebers

  • University of Tartu, School of Law, Tartu, Estonia

    Martin Ebers, Marta Cantero Gamito

  • CUNEF, Law Department, Madrid, Spain

    Marta Cantero Gamito

Back to top

About the editors

​Martin Ebers is Professor of IT Law at the University of Tartu (Estonia) and permanent research fellow at the Humboldt University of Berlin. He is co-founder and president of the Robotics & AI Law Society (RAILS). In addition to research and teaching, he has been active in the field of legal consulting for many years. His main areas of expertise and research are IT law, private law, insurance law and European law. 

Marta Cantero Gamito is Associate professor of IT law at the University of Tartu and Assistant professor of Law at CUNEF (Madrid). She has worked at the University of Helsinki as research associate to an Academy of Finland project and at the London School of Economics (LSE), where she taught EU law. She obtained her PhD at the European University Institute (Florence), where she was a member of an ERC-funded project on European Regulatory Private Law. Her interests cover EU IT law and governance, Internet and telecommunications regulation, Internet-of-Things, Artificial intelligence, private regulation, and private law theory. 

Back to top

Bibliographic Information

  • Book Title: Algorithmic Governance and Governance of Algorithms

  • Book Subtitle: Legal and Ethical Challenges

  • Editors: Martin Ebers, Marta Cantero Gamito

  • Series Title: Data Science, Machine Intelligence, and Law

  • DOI: https://doi.org/10.1007/978-3-030-50559-2

  • Publisher: Springer Cham

  • eBook Packages: Law and Criminology, Law and Criminology (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

  • Hardcover ISBN: 978-3-030-50558-5Published: 09 October 2020

  • Softcover ISBN: 978-3-030-50561-5Published: 09 October 2021

  • eBook ISBN: 978-3-030-50559-2Published: 08 October 2020

  • Series ISSN: 2730-5899

  • Series E-ISSN: 2730-5902

  • Edition Number: 1

  • Number of Pages: IX, 167

  • Number of Illustrations: 2 b/w illustrations, 1 illustrations in colour

  • Topics: IT Law, Media Law, Intellectual Property, Machine Learning, Robotics

Back to top
Access via your institution
eBook USD 119.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-50559-2
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 159.99
Price excludes VAT (USA)
Hardcover Book USD 159.99
Price excludes VAT (USA)
Learn about institutional subscriptions