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Algorithmic Governance and Governance of Algorithms

Legal and Ethical Challenges

  • Book
  • © 2021

Overview

Editors:
  1. Martin Ebers

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

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  2. Marta Cantero Gamito

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

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  • 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)

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-ix
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  2. Algorithmic Governance and Governance of Algorithms: An Introduction

    • Marta Cantero Gamito, Martin Ebers
    Pages 1-22

  3. Privacy, Non-Discrimination and Equal Treatment: Developing a Fundamental Rights Response to Behavioural Profiling

    • Niklas Eder
    Pages 23-48

  4. The Black Box on Trial: The Impact of Algorithmic Opacity on Fair Trial Rights in Criminal Proceedings

    • Francesca Palmiotto
    Pages 49-70

  5. Microchipping Employees: Unlawful Monitoring Practice or a New Trend in the Workplace?

    • Seili Suder, Merle Erikson
    Pages 71-85

  6. Electronic Personhood: A Tertium Genus for Smart Autonomous Surgical Robots?

    • Tomás Gabriel García-Micó
    Pages 87-108

  7. Online Behavioural Advertising and Unfair Manipulation Between the GDPR and the UCPD

    • Federico Galli
    Pages 109-135

  8. Protecting Deep Learning: Could the New EU-Trade Secrets Directive Be an Option for the Legal Protection of Artificial Neural Networks?

    • Jasper Siems
    Pages 137-156

  9. Chinese Copyright Law and Computer-Generated Works in the Era of Artificial Intelligence

    • Ying Ye, Mike Adcock
    Pages 157-167
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Keywords

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.

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

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. 



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

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