Protecting consumers from collusive prices due to AI-Reference-Cited by-同舟云学术

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Protecting consumers from collusive prices due to AI

Published:2020-11-27 Issue:6520 Volume:370 Page:1040-1042
ISSN:0036-8075
Container-title:Science
language:en
Short-container-title:Science

Author:

Calvano Emilio¹²,Calzolari Giacomo²³⁴,Denicolò Vincenzo¹²,Harrington Joseph E.⁵,Pastorello Sergio¹

Affiliation:

1. Department of Economics, University of Bologna, Bologna, Italy.

2. Center for Economic Policy Research, London, UK.

3. Department of Economics, European University Institute, Florence, Italy.

4. Department of Statistics, University of Bologna, Bologna, Italy.

5. Department of Business Economics and Public Policy, Wharton School, University of Pennsylvania, Philadelphia, PA, USA.

Abstract

Price-setting algorithms can lead to noncompetitive prices, but the law is ill equipped to stop it

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference15 articles.

1. A. Ezrachi, M. Stucke, Virtual Competition: The Promise and Perils of the Algorithm-Driven Economy (Harvard Univ. Press, 2016).

2. S. Mehra, Minn. Law Rev. 100, 1323 (2016).

3. J. Harrington, The Theory of Collusion and Competition Policy (MIT Press, 2017).

4. L. Kaplow, Competition Policy and Price Fixing (Princeton Univ. Press, 2013).

5. A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play

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