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Policy and Regulation Narratives of Artificial Intelligence : A Comparative Study

Author

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  • Jean-Loup Richet

    (GREGOR - Groupe de Recherche en Gestion des Organisations - UP1 - Université Paris 1 Panthéon-Sorbonne - IAE Paris - Sorbonne Business School, LAB IAE Paris - Sorbonne - IAE Paris - Sorbonne Business School)

  • Vincent Dutot

    (EM Normandie - École de Management de Normandie = EM Normandie Business School)

  • Simon Porcher

    (Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres, DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique)

  • Tra Tran

    (Audencia Business School)

Abstract

Although the impacts of artificial intelligence (AI) on the market, the economy, or customers are often studied, little is known about how governments support the use of AI through policy and regulation narratives. We undertake a textual analysis of 936 national and regional AI policies implemented in 70 countries/regions and focus on AI strategies. Computational text analyses led to the identification of three dimensions of AI government discourses and enabled us to conceptualize three symbolic strategic orientations. These results contribute to a better assessment of the different government approaches to AI governance. This research also contributes to a better understanding of how governments frame their technological and strategic orientations, offering important insights to both the information systems and administration fields.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Jean-Loup Richet & Vincent Dutot & Simon Porcher & Tra Tran, 2024. "Policy and Regulation Narratives of Artificial Intelligence : A Comparative Study," Post-Print hal-05064973, HAL.
    • Handle: RePEc:hal:journl:hal-05064973
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