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Economie de la donnée : Ecosystèmes numériques, algorithmes et intelligence artificielle

Author

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  • Frédéric Marty

    (Université Côte d'Azur, France
    GREDEG CNRS)

Abstract

L'accès à des flux de données massifs, renouvelés et diversifiés est l'une des clés de la performance des firmes en ce qu'il participe à l'entraînement de leurs algorithmes. Les firmes de la donnée peuvent potentiellement accéder à des situations de dominance significative et étendre leurs activités à des secteurs connexes formant autant d'écosystèmes numériques. L'exemple des activités bancaires et assurantielles illustre les potentialités en termes d'efficacité mais aussi d'inclusion liées aux possibilités de quasi-personnalisation des offres mais également les risques qui peuvent en résulter tant pour la concurrence que pour les consommateurs. Il s'agit donc d'illustrer les gains et les risques potentiels et d'envisager quelle peut être la portée des remèdes offerts par les règles de concurrence en la matière.

Suggested Citation

  • Frédéric Marty, 2023. "Economie de la donnée : Ecosystèmes numériques, algorithmes et intelligence artificielle," GREDEG Working Papers 2023-11, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
  • Handle: RePEc:gre:wpaper:2023-11
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    Keywords

    données; écosystèmes numériques; intelligence artificielle; personnalisation des prix; discrimination; abus d'éviction; abus d'exploitationse; éthique;
    All these keywords.

    JEL classification:

    • K21 - Law and Economics - - Regulation and Business Law - - - Antitrust Law
    • L12 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Monopoly; Monopolization Strategies
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • L22 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Organization and Market Structure

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