Algorithmes de prix, intelligence artificielle et équilibres collusifs

Frédéric Marty

Revue internationale de droit économique, 2017, vol. t. XXXI, issue 2, 83-116

Abstract: Algorithmic pricing can help competitors to collude. Big Data, real-time pricing, and predictive analysis can allow a tacit collusion agreement and a durable equilibrium to be reached quickly. Artificial intelligence poses a specific challenge because the algorithm may autonomously discover the possible gains associated with this kind of non-aggression agreement and also because it is particularly difficult to analyse its decision-making process. Hence sanctioning this on the grounds of prohibiting anti-competitive practices is not straightforward. This paper explores the alternative ways of regulation, through audits or the implementation of liability rules. JEL Codes: K21, K24, L41

Keywords: algorithmic pricing; artificial intelligence; tacit collusion; liability rules; antitrust enforcement (search for similar items in EconPapers)
JEL-codes: K21 K24 L41 (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)

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Related works:
Working Paper: Algorithmes de prix, intelligence artificielle et equilibre collusifs (2017)
Working Paper: Algorithmes de prix, intelligence artificielle et équilibres collusifs (2017)
Working Paper: Algorithmes de prix, intelligence artificielle et équilibres collusifs (2017)
Working Paper: Algorithmes de prix, intelligence artificielle, et équilibre collusifs (2017)
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