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What Do We Know About Algorithmic Tacit Collusion?

What Do We Know About Algorithmic Tacit Collusion? PDF Author: Ai Deng
Publisher:
ISBN:
Category :
Languages : en
Pages : 17

Book Description
The past few years have seen many legal scholars and antitrust agencies expressing interest in and concerns with algorithmic collusion. In this paper, I survey and draw lessons from the literature on Artificial Intelligence and on the economics of algorithmic tacit collusion. I show that a good understanding of this literature is a crucial first step to better understand the antitrust risks of algorithmic pricing and devise antitrust policies to combat such risks.

What Do We Know About Algorithmic Tacit Collusion?

What Do We Know About Algorithmic Tacit Collusion? PDF Author: Ai Deng
Publisher:
ISBN:
Category :
Languages : en
Pages : 17

Book Description
The past few years have seen many legal scholars and antitrust agencies expressing interest in and concerns with algorithmic collusion. In this paper, I survey and draw lessons from the literature on Artificial Intelligence and on the economics of algorithmic tacit collusion. I show that a good understanding of this literature is a crucial first step to better understand the antitrust risks of algorithmic pricing and devise antitrust policies to combat such risks.

What Do We Know About Algorithmic Collusion Now? New Insights from the Latest Academic Research

What Do We Know About Algorithmic Collusion Now? New Insights from the Latest Academic Research PDF Author: Ai Deng
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

Book Description
Algorithmic collusion has captured the attention of the global antitrust community for the past several years. Deng (2020) provided a comprehensive survey of the pertinent literature in economics and computer science and a critical discussion. Over the past three years, new insights have emerged from academic research. These new insights have not only deepened our understanding of the intricate relationship between algorithms and competition but also begun challenging some previous findings once considered compelling evidence supporting the plausibility of autonomous algorithmic tacit collusion. In this article, I discuss these new insights, with a focus on four topics: (1) the nuanced ways algorithms affect prices, (2) the crucial role of algorithmic design, (3) the consequences of third-party pricing algorithms, and (4) some considerations when assessing algorithmic impact in litigation.

Algorithmic Tacit Collusion

Algorithmic Tacit Collusion PDF Author: Valeria Caforio
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

Book Description
In light of the ongoing debate on algorithmic collusion, this paper intends to answer the following question: should algorithmic tacit collusion be prohibited under EU competition law? By algorithmic tacit collusion it is meant the capability of algorithmic pricing agents to unilaterally engage into tacitly collusive strategies without human intervention (we also call it 'machine-to-machine cooperation' or 'algorithmic interdependent pricing'). Essentially, this practice raises the very same issues as the well-known oligopoly problem. Therefore, to make it prohibited one could envisage the traditional proposed solution of disentangling the categories of article 101 TFEU from the notions of an 'act of reciprocal communication between firms' or 'meeting of minds'. The paper sets out to discuss this option and its implications. It argues that, from a competition law standpoint, although algorithmic tacit collusion remains undesirable, the notions of agreement and concerted practices should not be changed to encompass it. Rather, it embraces a regulatory perspective referred to as 'algorithms by design' which relies on introducing a legal obligation for firms to program algorithms in such a way as to prevent them from setting oligopolistic prices. In particular, while exploring this regulatory proposal, the paper discusses the peculiar case of algorithms that, though designed not to violate antitrust law, end up charging collusive prices. In this regard, the paper develops a second proposal: it introduces the idea of 'outcome visibility' to nail firms to their responsibility. This concept implies the idea that even if firms are not aware that their pricing algorithms are implementing a collusive strategy, they cannot ignore their visible market outcome.

Virtual Competition

Virtual Competition PDF Author: Ariel Ezrachi
Publisher: Harvard University Press
ISBN: 0674545478
Category : Business & Economics
Languages : en
Pages : 365

Book Description
“A fascinating book about how platform internet companies (Amazon, Facebook, and so on) are changing the norms of economic competition.” —Fast Company Shoppers with a bargain-hunting impulse and internet access can find a universe of products at their fingertips. But is there a dark side to internet commerce? This thought-provoking exposé invites us to explore how sophisticated algorithms and data-crunching are changing the nature of market competition, and not always for the better. Introducing into the policy lexicon terms such as algorithmic collusion, behavioral discrimination, and super-platforms, Ariel Ezrachi and Maurice E. Stucke explore the resulting impact on competition, our democratic ideals, our wallets, and our well-being. “We owe the authors our deep gratitude for anticipating and explaining the consequences of living in a world in which black boxes collude and leave no trails behind. They make it clear that in a world of big data and algorithmic pricing, consumers are outgunned and antitrust laws are outdated, especially in the United States.” —Science “A convincing argument that there can be a darker side to the growth of digital commerce. The replacement of the invisible hand of competition by the digitized hand of internet commerce can give rise to anticompetitive behavior that the competition authorities are ill equipped to deal with.” —Burton G. Malkiel, Wall Street Journal “A convincing case for the need to rethink competition law to cope with algorithmic capitalism’s potential for malfeasance.” —John Naughton, The Observer

Big Data and Competition Policy

Big Data and Competition Policy PDF Author: Maurice E. Stucke
Publisher:
ISBN: 9780191092190
Category : LAW
Languages : en
Pages :

Book Description
The first text to provide understanding of the important new issue of Big Data and how it relates to competition laws and policy, both in the EU and US.

Research Handbook on the Law of Artificial Intelligence

Research Handbook on the Law of Artificial Intelligence PDF Author: Woodrow Barfield
Publisher: Edward Elgar Publishing
ISBN: 1786439050
Category : Computers
Languages : en
Pages : 736

Book Description
The field of artificial intelligence (AI) has made tremendous advances in the last two decades, but as smart as AI is now, it is getting smarter and becoming more autonomous. This raises a host of challenges to current legal doctrine, including whether AI/algorithms should count as ‘speech’, whether AI should be regulated under antitrust and criminal law statutes, and whether AI should be considered as an agent under agency law or be held responsible for injuries under tort law. This book contains chapters from US and international law scholars on the role of law in an age of increasingly smart AI, addressing these and other issues that are critical to the evolution of the field.

Algorithmic Antitrust

Algorithmic Antitrust PDF Author: Aurelien Portuese
Publisher: Springer Nature
ISBN: 3030858596
Category : Law
Languages : en
Pages : 182

Book Description
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.

We, the Robots?

We, the Robots? PDF Author: Simon Chesterman
Publisher: Cambridge University Press
ISBN: 1316517683
Category : Business & Economics
Languages : en
Pages : 311

Book Description
Explains how artificial intelligence is pushing the limits of the law and how we must respond.

Hub-and-Spoke Cartels

Hub-and-Spoke Cartels PDF Author: Luke Garrod
Publisher: MIT Press
ISBN: 0262046202
Category : Business & Economics
Languages : en
Pages : 303

Book Description
The first comprehensive economic and legal analysis of hub-and-spoke cartels, with detailed case studies. A cartel forms when competitors conspire to limit competition through coordinated actions. Most cartels are composed exclusively of firms that would otherwise be in competition, but in a hub-and-spoke cartel, those competitors (“spokes”) conspire with the assistance of an upstream supplier or a downstream buyer (“hub”). This book provides the first comprehensive economic and legal analysis of hub-and-spoke cartels, explaining their formation and how they operate to create and sustain a collusive environment. Sixteen detailed case studies, including cases brought against toy manufacturer Hasbro and the Apple ebook case, illustrate the economic framework and legal strategies discussed. The authors identify three types of hub-and-spoke cartels: when an upstream firm facilitates downstream firms to coordinate on higher prices; when a downstream intermediary facilitates upstream suppliers to coordinate on higher prices; and when a downstream firm facilitates upstream suppliers to exclude a downstream rival. They devote a chapter to each type, discussing the formation, coordination, enforcement, efficacy, and prosecution of these cartels, and consider general lessons that can be drawn from the case studies. Finally, they present strategies for prosecuting hub-and-spoke collusion. The book is written to be accessible to both economists and lawyers, and is intended for both scholars and practitioners.

Econometrics

Econometrics PDF Author: American Bar Association. Section of Antitrust Law
Publisher: American Bar Association
ISBN: 9781590315170
Category : Business & Economics
Languages : en
Pages : 524

Book Description
"The economic expert has become a central figure in virtually every antitrust litigation or merger matter, and the importance of econometrics has increased significantly. A basic understanding of econometric principles has now become almost essential to the serious antitrust practitioner. This volume is designed to introduce lawyers to the theoretical and practical issues of econometrics, providing necessary tools for working effectively with economic experts on both sides of a matter." -- from the Foreword, p. xv.