AI algorithms, price discrimination and collusion: a technological, economic and legal perspective

Axel Gautier, Ashwin Ittoo and Pieter Van Cleynenbreugel
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Axel Gautier: Université catholique de Louvain, LIDAM/CORE, Belgium

No 3138, LIDAM Reprints CORE from Université catholique de Louvain, Center for Operations Research and Econometrics (CORE)

Abstract: In recent years, important concerns have been raised about the increasing capabilities of pricing algorithms to make use of artificial intelligence (AI) technologies. Two issues have gained particular attention: algorithmic price discrimination (PD) and algorithmic tacit collusion (TC). Although the risks and opportunities of both practices have been explored extensively in the literature, neither has yet been observed in the actual practice. As a result, there remains much confusion as to the ability of algorithms to engage in potentially harmful behavior with respect to price discrimination and collusion. In this article, we embed the economic and legal literature on these topics in a technological grounding to provide a more objective account of the capabilities of current AI technologies to engage in price discrimination and collusion. We argue that attention to these current technological capabilities should more directly inform on-going discussions on the urgency to reform legal rules or enforcement practices governing algorithmic PD and TC.

Date: 2020-12-31
Note: In: European Journal of Law and Economics, 2020, vol.50, p. 405-435
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Persistent link: https://EconPapers.repec.org/RePEc:cor:louvrp:3138

DOI: 10.1007/s10657-020-09662-6

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