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Algorithmes de prix, intelligence artificielle et équilibres collusifs

Author

Listed:
  • Frédéric Marty

    () (GREDEG - Groupe de Recherche en Droit, Economie et Gestion - UNS - Université Nice Sophia Antipolis - UCA - Université Côte d'Azur - CNRS - Centre National de la Recherche Scientifique)

Abstract

Les algorithmes de prix mis en œuvre par des firmes concurrentes peuvent constituer le support de collusions. Les ressources offertes par le Big Data, les possibilités d’ajustement des prix en temps réel et l’analyse prédictive peuvent permettre d’atteindre rapidement et de maintenir durablement des équilibres de collusion tacite. Le recours à l’intelligence artificielle pose un enjeu spécifique en ce sens que l’algorithme peut découvrir de lui-même l’intérêt d’un accord tacite de non-agression et que l’analyse de son processus décisionnel est particulièrement difficile. Ce faisant la sanction de l’entente sur la base du droit des pratiques anticoncurrentielles ne va pas de soi. L’article explore donc les voies de régulation possibles, que celles-ci passent par des audits ou par l’activation de règles de responsabilité

Suggested Citation

  • Frédéric Marty, 2017. "Algorithmes de prix, intelligence artificielle et équilibres collusifs," Post-Print halshs-01520378, HAL.
  • Handle: RePEc:hal:journl:halshs-01520378
    Note: View the original document on HAL open archive server: https://halshs.archives-ouvertes.fr/halshs-01520378
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    Keywords

    algorithmic pricing; artificial intelligence; tacit collusion; liability rules; antitrust enforcement; mise en œuvre des règles de concurrence; algorithmes de prix; intelligence artificielle; collusion tacite; règles de responsabilité;

    JEL classification:

    • K21 - Law and Economics - - Regulation and Business Law - - - Antitrust Law
    • K23 - Law and Economics - - Regulation and Business Law - - - Regulated Industries and Administrative Law
    • L41 - Industrial Organization - - Antitrust Issues and Policies - - - Monopolization; Horizontal Anticompetitive Practices

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