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Generative AI systems in higher education : controversial risks and contradictory scenarios
[Les Systèmes d'IA générative dans l'enseignement supérieur : des risques controversés et des scénarios contradictoires]

Author

Listed:
  • Bernard Fallery

    (MRM - Montpellier Research in Management - UM1 - Université Montpellier 1 - UPVM - Université Paul-Valéry - Montpellier 3 - UM2 - Université Montpellier 2 - Sciences et Techniques - UPVD - Université de Perpignan Via Domitia - Groupe Sup de Co Montpellier (GSCM) - Montpellier Business School)

  • Florence Rodhain

    (MRM - Montpellier Research in Management - UM1 - Université Montpellier 1 - UPVM - Université Paul-Valéry - Montpellier 3 - UM2 - Université Montpellier 2 - Sciences et Techniques - UPVD - Université de Perpignan Via Domitia - Groupe Sup de Co Montpellier (GSCM) - Montpellier Business School)

  • Saloua Zgoulli-Swalhi

    (MRM - Montpellier Research in Management - UM1 - Université Montpellier 1 - UPVM - Université Paul-Valéry - Montpellier 3 - UM2 - Université Montpellier 2 - Sciences et Techniques - UPVD - Université de Perpignan Via Domitia - Groupe Sup de Co Montpellier (GSCM) - Montpellier Business School)

Abstract

In higher education, will we work with AI or despite AI? Twenty proposals on the possible educational and strategic implications of SIAg are debated here by a panel of 40 experts using the DELPHI method. We present in this work-in-Progress (1) the construction of the panel of experts and the proposals submitted, (2) the quantitative results on the first two rond and (3) the prospective scenarios discussed in the third round.

Suggested Citation

  • Bernard Fallery & Florence Rodhain & Saloua Zgoulli-Swalhi, 2024. "Generative AI systems in higher education : controversial risks and contradictory scenarios [Les Systèmes d'IA générative dans l'enseignement supérieur : des risques controversés et des scénarios c," Post-Print hal-04680468, HAL.
    • Handle: RePEc:hal:journl:hal-04680468
    Note: View the original document on HAL open archive server: https://hal.science/hal-04680468
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