Controlling Algorithmic Collusion

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Controlling Algorithmic Collusion

Author : Joao E. Gata
Publisher :
ISBN 13 :
Total Pages : 20 pages
Book Rating : 4.:/5 (13 download)

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Book Synopsis Controlling Algorithmic Collusion by : Joao E. Gata

Download or read book Controlling Algorithmic Collusion written by Joao E. Gata and published by . This book was released on 2019 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithms have played an increasingly important role in economic activity, as they becoming faster and smarter. Together with the increasing use of ever larger data sets, they may lead to significant changes in the way markets work. These developments have been raising concerns not only over the rights to privacy and consumers' autonomy, but also on competition. Infringements of antitrust laws involving the use of algorithms have occurred in the past. However, current concerns are of a different nature as they relate to the role algorithms can play as facilitators of collusive behavior in repeated games, and the role increasingly sophisticated algorithms can play as autonomous implementers of pricing strategies, learning to collude without any explicit instructions provided by human agents. In particular, it is recognized that the use of 'learning algorithms' can facilitate tacit collusion and lead to an increased blurring of borders between tacit and explicit collusion. Several authors who have addressed the possibilities for achieving tacit collusion equilibrium outcomes by algorithms interacting autonomously, have also considered some form of ex-ante assessment and regulation over the type of algorithms used by firms. By using well-known results in the theory of computation, I show that such option faces serious challenges to its effectiveness due to undecidability results. Ex-post assessment may be constrained as well. Notwithstanding several challenges face by current software testing methodologies, competition law enforcement and policy have much to gain from an interdisciplinary collaboration with computer science and mathematics.

Artificial Intelligence, Algorithmic Pricing and Collusion

Author : Emilio Calvano
Publisher :
ISBN 13 :
Total Pages : 44 pages
Book Rating : 4.:/5 (17 download)

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Book Synopsis Artificial Intelligence, Algorithmic Pricing and Collusion by : Emilio Calvano

Download or read book Artificial Intelligence, Algorithmic Pricing and Collusion written by Emilio Calvano and published by . This book was released on 2018 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pricing algorithms are increasingly replacing human decision making in real marketplaces. To inform the competition policy debate on possible consequences, we run experiments with pricing algorithms powered by Artificial Intelligence in controlled environments (computer simulations). In particular, we study the interaction among a number of Q-learning algorithms in the context of a workhorse oligopoly model of price competition with Logit demand and constant marginal costs. We show that the algorithms consistently learn to charge supra-competitive prices, without communicating with each other. The high prices are sustained by classical collusive strategies with a finite punishment phase followed by a gradual return to cooperation. This finding is robust to asymmetries in cost or demand and to changes in the number of players.

Virtual Competition

Author : Ariel Ezrachi
Publisher : Harvard University Press
ISBN 13 : 0674545478
Total Pages : 365 pages
Book Rating : 4.6/5 (745 download)

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Book Synopsis Virtual Competition by : Ariel Ezrachi

Download or read book Virtual Competition written by Ariel Ezrachi and published by Harvard University Press. This book was released on 2016-11-14 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: “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

The Theory of Collusion and Competition Policy

Author : Joseph E. Harrington, Jr.
Publisher : MIT Press
ISBN 13 : 0262036932
Total Pages : 145 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis The Theory of Collusion and Competition Policy by : Joseph E. Harrington, Jr.

Download or read book The Theory of Collusion and Competition Policy written by Joseph E. Harrington, Jr. and published by MIT Press. This book was released on 2017-11-16 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: A review of the theoretical research on unlawful collusion, focusing on the impact and optimal design of competition law and enforcement. Collusion occurs when firms in a market coordinate their behavior for the purpose of producing a supracompetitive outcome. The literature on the theory of collusion is deep and broad but most of that work does not take account of the possible illegality of collusion. Recently, there has been a growing body of research that explicitly focuses on collusion that runs afoul of competition law and thereby makes firms potentially liable for penalties. This book, by an expert on the subject, reviews the theoretical research on unlawful collusion, with a focus on two issues: the impact of competition law and enforcement on whether, how long, and how much firms collude; and the optimal design of competition law and enforcement. The book begins by discussing general issues that arise when models of collusion take into account competition law and enforcement. It goes on to consider game-theoretic models that encompass the probability of detection and penalties incurred when convicted, and examines how these policy instruments affect the frequency of cartels, cartel duration, cartel participation, and collusive prices. The book then considers the design of competition law and enforcement, examining such topics as the formula for penalties and leniency programs. The book concludes with suggested future lines of inquiry into illegal collusion.

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

Author : Ai Deng
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (139 download)

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Book Synopsis What Do We Know About Algorithmic Collusion Now? New Insights from the Latest Academic Research by : Ai Deng

Download or read book What Do We Know About Algorithmic Collusion Now? New Insights from the Latest Academic Research written by Ai Deng and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Robotics, AI and the Future of Law

Author : Marcelo Corrales
Publisher : Springer
ISBN 13 : 9811328749
Total Pages : 245 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Robotics, AI and the Future of Law by : Marcelo Corrales

Download or read book Robotics, AI and the Future of Law written by Marcelo Corrales and published by Springer. This book was released on 2018-11-02 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence and related technologies are changing both the law and the legal profession. In particular, technological advances in fields ranging from machine learning to more advanced robots, including sensors, virtual realities, algorithms, bots, drones, self-driving cars, and more sophisticated “human-like” robots are creating new and previously unimagined challenges for regulators. These advances also give rise to new opportunities for legal professionals to make efficiency gains in the delivery of legal services. With the exponential growth of such technologies, radical disruption seems likely to accelerate in the near future. This collection brings together a series of contributions by leading scholars in the newly emerging field of artificial intelligence, robotics, and the law. The aim of the book is to enrich legal debates on the social meaning and impact of this type of technology. The distinctive feature of the contributions presented in this edition is that they address the impact of these technological developments in a number of different fields of law and from the perspective of diverse jurisdictions. Moreover, the authors utilize insights from multiple related disciplines, in particular social theory and philosophy, in order to better understand and address the legal challenges created by AI. Therefore, the book will contribute to interdisciplinary debates on disruptive new AI technologies and the law.

Algorithmic Antitrust

Author : Aurelien Portuese
Publisher : Springer Nature
ISBN 13 : 3030858596
Total Pages : 182 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Algorithmic Antitrust by : Aurelien Portuese

Download or read book Algorithmic Antitrust written by Aurelien Portuese and published by Springer Nature. This book was released on 2022-01-21 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Twenty Lectures on Algorithmic Game Theory

Author : Tim Roughgarden
Publisher : Cambridge University Press
ISBN 13 : 1316781178
Total Pages : 356 pages
Book Rating : 4.3/5 (167 download)

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Book Synopsis Twenty Lectures on Algorithmic Game Theory by : Tim Roughgarden

Download or read book Twenty Lectures on Algorithmic Game Theory written by Tim Roughgarden and published by Cambridge University Press. This book was released on 2016-08-30 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer science and economics have engaged in a lively interaction over the past fifteen years, resulting in the new field of algorithmic game theory. Many problems that are central to modern computer science, ranging from resource allocation in large networks to online advertising, involve interactions between multiple self-interested parties. Economics and game theory offer a host of useful models and definitions to reason about such problems. The flow of ideas also travels in the other direction, and concepts from computer science are increasingly important in economics. This book grew out of the author's Stanford University course on algorithmic game theory, and aims to give students and other newcomers a quick and accessible introduction to many of the most important concepts in the field. The book also includes case studies on online advertising, wireless spectrum auctions, kidney exchange, and network management.

The Antitrust Paradox

Author : Robert Bork
Publisher :
ISBN 13 : 9781736089712
Total Pages : 536 pages
Book Rating : 4.0/5 (897 download)

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Book Synopsis The Antitrust Paradox by : Robert Bork

Download or read book The Antitrust Paradox written by Robert Bork and published by . This book was released on 2021-02-22 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: The most important book on antitrust ever written. It shows how antitrust suits adversely affect the consumer by encouraging a costly form of protection for inefficient and uncompetitive small businesses.

The Algorithmic Foundations of Differential Privacy

Author : Cynthia Dwork
Publisher :
ISBN 13 : 9781601988188
Total Pages : 286 pages
Book Rating : 4.9/5 (881 download)

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Book Synopsis The Algorithmic Foundations of Differential Privacy by : Cynthia Dwork

Download or read book The Algorithmic Foundations of Differential Privacy written by Cynthia Dwork and published by . This book was released on 2014 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: The problem of privacy-preserving data analysis has a long history spanning multiple disciplines. As electronic data about individuals becomes increasingly detailed, and as technology enables ever more powerful collection and curation of these data, the need increases for a robust, meaningful, and mathematically rigorous definition of privacy, together with a computationally rich class of algorithms that satisfy this definition. Differential Privacy is such a definition. The Algorithmic Foundations of Differential Privacy starts out by motivating and discussing the meaning of differential privacy, and proceeds to explore the fundamental techniques for achieving differential privacy, and the application of these techniques in creative combinations, using the query-release problem as an ongoing example. A key point is that, by rethinking the computational goal, one can often obtain far better results than would be achieved by methodically replacing each step of a non-private computation with a differentially private implementation. Despite some powerful computational results, there are still fundamental limitations. Virtually all the algorithms discussed herein maintain differential privacy against adversaries of arbitrary computational power -- certain algorithms are computationally intensive, others are efficient. Computational complexity for the adversary and the algorithm are both discussed. The monograph then turns from fundamentals to applications other than query-release, discussing differentially private methods for mechanism design and machine learning. The vast majority of the literature on differentially private algorithms considers a single, static, database that is subject to many analyses. Differential privacy in other models, including distributed databases and computations on data streams, is discussed. The Algorithmic Foundations of Differential Privacy is meant as a thorough introduction to the problems and techniques of differential privacy, and is an invaluable reference for anyone with an interest in the topic.

Hub-and-Spoke Cartels

Author : Luke Garrod
Publisher : MIT Press
ISBN 13 : 0262046202
Total Pages : 303 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Hub-and-Spoke Cartels by : Luke Garrod

Download or read book Hub-and-Spoke Cartels written by Luke Garrod and published by MIT Press. This book was released on 2021-11-16 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : American Bar Association. Section of Antitrust Law
Publisher : American Bar Association
ISBN 13 : 9781590315170
Total Pages : 524 pages
Book Rating : 4.3/5 (151 download)

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Book Synopsis Econometrics by : American Bar Association. Section of Antitrust Law

Download or read book Econometrics written by American Bar Association. Section of Antitrust Law and published by American Bar Association. This book was released on 2005 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.

Noise

Author : Daniel Kahneman
Publisher : Little, Brown
ISBN 13 : 031645138X
Total Pages : 429 pages
Book Rating : 4.3/5 (164 download)

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Book Synopsis Noise by : Daniel Kahneman

Download or read book Noise written by Daniel Kahneman and published by Little, Brown. This book was released on 2021-05-18 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the Nobel Prize-winning author of Thinking, Fast and Slow and the coauthor of Nudge, a revolutionary exploration of why people make bad judgments and how to make better ones—"a tour de force” (New York Times). Imagine that two doctors in the same city give different diagnoses to identical patients—or that two judges in the same courthouse give markedly different sentences to people who have committed the same crime. Suppose that different interviewers at the same firm make different decisions about indistinguishable job applicants—or that when a company is handling customer complaints, the resolution depends on who happens to answer the phone. Now imagine that the same doctor, the same judge, the same interviewer, or the same customer service agent makes different decisions depending on whether it is morning or afternoon, or Monday rather than Wednesday. These are examples of noise: variability in judgments that should be identical. In Noise, Daniel Kahneman, Olivier Sibony, and Cass R. Sunstein show the detrimental effects of noise in many fields, including medicine, law, economic forecasting, forensic science, bail, child protection, strategy, performance reviews, and personnel selection. Wherever there is judgment, there is noise. Yet, most of the time, individuals and organizations alike are unaware of it. They neglect noise. With a few simple remedies, people can reduce both noise and bias, and so make far better decisions. Packed with original ideas, and offering the same kinds of research-based insights that made Thinking, Fast and Slow and Nudge groundbreaking New York Times bestsellers, Noise explains how and why humans are so susceptible to noise in judgment—and what we can do about it.

The Economics of Artificial Intelligence

Author : Ajay Agrawal
Publisher : University of Chicago Press
ISBN 13 : 0226833127
Total Pages : 172 pages
Book Rating : 4.2/5 (268 download)

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Book Synopsis The Economics of Artificial Intelligence by : Ajay Agrawal

Download or read book The Economics of Artificial Intelligence written by Ajay Agrawal and published by University of Chicago Press. This book was released on 2024-03-05 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.

The Cambridge Handbook of the Law of Algorithms

Author : Woodrow Barfield
Publisher : Cambridge University Press
ISBN 13 : 1108663184
Total Pages : 1327 pages
Book Rating : 4.1/5 (86 download)

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Book Synopsis The Cambridge Handbook of the Law of Algorithms by : Woodrow Barfield

Download or read book The Cambridge Handbook of the Law of Algorithms written by Woodrow Barfield and published by Cambridge University Press. This book was released on 2020-11-05 with total page 1327 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithms are a fundamental building block of artificial intelligence - and, increasingly, society - but our legal institutions have largely failed to recognize or respond to this reality. The Cambridge Handbook of the Law of Algorithms, which features contributions from US, EU, and Asian legal scholars, discusses the specific challenges algorithms pose not only to current law, but also - as algorithms replace people as decision makers - to the foundations of society itself. The work includes wide coverage of the law as it relates to algorithms, with chapters analyzing how human biases have crept into algorithmic decision-making about who receives housing or credit, the length of sentences for defendants convicted of crimes, and many other decisions that impact constitutionally protected groups. Other issues covered in the work include the impact of algorithms on the law of free speech, intellectual property, and commercial and human rights law.

Algorithms and Law

Author : Martin Ebers
Publisher : Cambridge University Press
ISBN 13 : 1108424821
Total Pages : 321 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis Algorithms and Law by : Martin Ebers

Download or read book Algorithms and Law written by Martin Ebers and published by Cambridge University Press. This book was released on 2020-07-23 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploring issues from big-data to robotics, this volume is the first to comprehensively examine the regulatory implications of AI technology.

Algorithmic Collusion, Genuine and Spurious

Author : Emilio Calvano
Publisher :
ISBN 13 :
Total Pages : 6 pages
Book Rating : 4.:/5 (126 download)

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Book Synopsis Algorithmic Collusion, Genuine and Spurious by : Emilio Calvano

Download or read book Algorithmic Collusion, Genuine and Spurious written by Emilio Calvano and published by . This book was released on 2021 with total page 6 pages. Available in PDF, EPUB and Kindle. Book excerpt: We clarify the difference between the asynchronous pricing algorithms analyzed by Asker, Fershtman and Pakes (2021) and those considered in the previous literature. The difference lies in the way the algorithms explore: randomly or mechanically. We reaffirm that with random exploration, asynchronous pricing algorithms learn genuinely collusive strategies.