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  • Conference proceedings
  • © 2022

Algorithmic Antitrust

  • Groundbreaking approach to the impact of algorithms on competition

  • Alternative approach to the predominantly pessimistic view of the issue

  • Comprehensive study of the different aspects of enforcing algorithmic antitrust

Part of the book series: Economic Analysis of Law in European Legal Scholarship (EALELS, volume 12)

Buying options

eBook USD 139.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-85859-9
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Hardcover Book USD 179.99
Price excludes VAT (USA)

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Table of contents (8 papers)

  1. Front Matter

    Pages i-v
  2. Prologue: Algorithmic Antitrust—A Primer

    • Aurelien Portuese
    Pages 1-38
  3. Algorithmic Antitrust: A Critical Overview

    • Cento Veljanovski
    Pages 39-64
  4. Algorithmic Antitrust and Consumer Choice

    • Liza Lovdahl Gormsen
    Pages 65-86
  5. Algorithms, Big Data, and Merger Control

    • Verity Egerton-Doyle, Jonathan Ford
    Pages 87-106
  6. Can Antitrust Trust Blockchain?

    • Giovanna Massarotto
    Pages 121-154
  7. Epilogue: Algorithmic Antitrust—A Questioning

    • Aurelien Portuese
    Pages 175-176

About this book

Algorithms are ubiquitous in our daily lives. They affect the way we shop, interact, and make exchanges on the marketplace. In this regard, algorithms can also shape competition on the marketplace. Companies employ algorithms as technologically innovative tools in an effort to edge out competitors. Antitrust agencies have increasingly recognized the competitive benefits, but also competitive risks that algorithms entail. Over the last few years, many algorithm-driven companies in the digital economy have been investigated, prosecuted and fined, mostly for allegedly unfair algorithm design. Legislative proposals aim at regulating the way algorithms shape competition. Consequently, a so-called “algorithmic antitrust” theory and practice have also emerged. This book provides a more innovation-driven perspective on the way antitrust agencies should approach algorithmic antitrust. 

To date, the analysis of algorithmic antitrust has predominantly been shaped by pessimistic approaches to the risks of algorithms on the competitive environment. With the benefit of the lessons learned over the last few years, this book assesses whether these risks have actually materialized and whether antitrust laws need to be adapted accordingly. Effective algorithmic antitrust requires to adequately assess the pro- and anti-competitive effects of algorithms on the basis of concrete evidence and innovation-related concerns. With a particular emphasis on the European perspective, this book brings together experts and scrutinizes on the implications of algorithmic antitrust for regulation and innovation. 

Keywords

  • Antitrust
  • Competition
  • Digital
  • Algorithm
  • Technology
  • Innovation
  • Machine learning
  • Deep learning
  • Artificial intelligence
  • Collusion

Editors and Affiliations

  • The Schumpeter Project on Competition Policy, Information Technology and Innovation Foundation, Washington, DC, USA

    Aurelien Portuese

About the editor

Dr. Aurelien Portuese is Director of The Schumpeter Project at the Information Technology and Innovation Foundation, the world’s leading think tank on science and technology. He is also an Adjunct Professor at the Global Antitrust Institute of George Mason University, and at the Catholic University of Paris.

Bibliographic Information

Buying options

eBook USD 139.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-85859-9
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Hardcover Book USD 179.99
Price excludes VAT (USA)