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L’IA et la décision : le risque de la déresponsabilisation individuelle et organisationnelle

Author

Listed:
  • Marius Bertolucci

    (CERGAM de Toulon - Centre d'Études et de Recherche en Gestion d'Aix-Marseille/Equipe de recherche de Toulon - CERGAM - Centre d'Études et de Recherche en Gestion d'Aix-Marseille - AMU - Aix Marseille Université - UTLN - Université de Toulon - IAE Toulon - Institut d'Administration des Entreprises (IAE) - Toulon - UTLN - Université de Toulon)

Abstract

Si les biais de certaines IA attirent toutes les attentions, les biais humains provoqués par l'IA sur la décision sont mis en arrière‑plan. Pourtant, les effets de la déresponsabilisation, induits par l'assistance par IA, font peser un risque vital sur les organisations et leurs parties prenantes. Les systèmes techniques ont vu leur statut ontologique évoluer de par les avancées de l'IA et les discours les entourant. Toutefois,percevoir l'IA comme un simple outil masque son autonomie par rapport aux dispositifs classiques d'aide à la décision. La tâche qui nous incombe est de penser la radicale nouveauté de l'IA décisionnelle dans le quotidien des agents de première ligne comme dans les décisions stratégiques. Les ana‑lyses des données massives par des IA prédictives se voient depuis peu accompagnées par des IA génératives, qui sont à même de mimer le comportement humain (langage, créativité).

Suggested Citation

  • Marius Bertolucci, 2025. "L’IA et la décision : le risque de la déresponsabilisation individuelle et organisationnelle," Post-Print hal-05139913, HAL.
    • Handle: RePEc:hal:journl:hal-05139913
    Note: View the original document on HAL open archive server: https://hal.science/hal-05139913v1
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    References listed on IDEAS

    as
    1. Omid Omidvar & Mehdi Safavi & Vern L. Glaser, 2023. "Algorithmic Routines and Dynamic Inertia: How Organizations Avoid Adapting to Changes in the Environment," Journal of Management Studies, Wiley Blackwell, vol. 60(2), pages 313-345, March.
    2. Francesco Gualdi & Antonio Cordella, 2024. "Artificial intelligence to support public sector decision-making: the emergence of entangled accountability," Chapters, in: Ioanna Constantiou & Mayur P. Joshi & Marta Stelmaszak (ed.), Research Handbook on Artificial Intelligence and Decision Making in Organizations, chapter 15, pages 266-281, Edward Elgar Publishing.
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