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Biological Intelligence vs AI: what machines still don’t know how to do… and why it matters to managers
[Intelligence Biologique vs IA : ce que les machines ne savent toujours pas faire… et pourquoi ça compte pour les managers]

Author

Listed:
  • Philippe Jean-Baptiste

    (LEST - Laboratoire d'Economie et de Sociologie du Travail - AMU - Aix Marseille Université - CNRS - Centre National de la Recherche Scientifique)

Abstract

As generative artificial intelligences (GAIs) gain in performance, their integration into managerial contexts raises profound issues. The article opens up perspectives on the possible forms of hybridization between AI and management, focusing on non-substitutable, disembodied and probabilistic skills, and embodied, contextual and relational biological intelligence. Based on a critical review and illustrative cases, he shows that certain human skills - interpretation, arbitration, empathy - remain difficult to automate. Far from replacing managers, AI calls for a redefinition of their roles: mediators between technology and meaning, guarantors of ethics and the quality of interactions. The article thus opens up perspectives on possible forms of hybridization between AI and management, emphasizing the non-substitutable skills to be preserved and developed in organizations.

Suggested Citation

  • Philippe Jean-Baptiste, 2025. "Biological Intelligence vs AI: what machines still don’t know how to do… and why it matters to managers [Intelligence Biologique vs IA : ce que les machines ne savent toujours pas faire… et pourquo," Post-Print hal-05117915, HAL.
    • Handle: RePEc:hal:journl:hal-05117915
    Note: View the original document on HAL open archive server: https://hal.science/hal-05117915v1
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