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Algorithmic Antitrust
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Algorithmic Antitrust/ edited by Aurelien Portuese.
其他作者:
Portuese, Aurelien.
面頁冊數:
V, 176 p. 2 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
International Economic Law, Trade Law. -
電子資源:
https://doi.org/10.1007/978-3-030-85859-9
ISBN:
9783030858599
Algorithmic Antitrust
Algorithmic Antitrust
[electronic resource] /edited by Aurelien Portuese. - 1st ed. 2022. - V, 176 p. 2 illus. in color.online resource. - Economic Analysis of Law in European Legal Scholarship,122512-1308 ;. - Economic Analysis of Law in European Legal Scholarship,9.
Prologue: Algorithmic Antitrust – A Primer -- Algorithmic Antitrust – A Critical Overview -- Algorithmic Antitrust and Consumer Choice -- Algorithms, Big Data, and Merger Control -- Reasons to be Cheerful – The Benevolent Market Power of Decentralised Blockchains -- Blockchain Antitrust -- The Technology Innovation Time Gap in European Competition Law: Assessing the European Commission’s Approach -- Epilogue: Algorithmic Antitrust – A Questioning.
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. .
ISBN: 9783030858599
Standard No.: 10.1007/978-3-030-85859-9doiSubjects--Topical Terms:
882440
International Economic Law, Trade Law.
LC Class. No.: K4240-4343
Dewey Class. No.: 343.099
Algorithmic Antitrust
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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. .
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