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Personas design in the age of generative AI: towards a hybrid human-machine approach to mitigate cognitive and algorithmic biases
[La conception de personas à l'ère de l'IA générative : vers une approche hybride homme-machine pour atténuer les biais cognitifs et algorithmiques]

Author

Listed:
  • Morgan Blangeois

    (CleRMa - Clermont Recherche Management - ESC Clermont-Ferrand - École Supérieure de Commerce (ESC) - Clermont-Ferrand - UCA - Université Clermont Auvergne)

Abstract

This communication proposes an exploratory approach aimed at combining human expertise with the capabilities of generative artificial intelligence (AI) in the design of marketing personas. It highlights the presence of two main types of bias (cognitive and algorithmic) which risk distorting the representation of user profiles. The prototype artefact presented, developed in Python with the Gradio interface, calls for a critical dialogue between the human and the machine: the AI model proposes sketches of personas, while the human designer refines the proposals and looks out for any stereotypes. The aim of this approach is to train future managers and designers to think more responsibly, while offering them greater creativity. The educational perspectives focus on raising awareness of the mechanisms of bias and the reflective practice of AI applications. Finally, the text calls for the methodology to be extended and deepened in order to assess its empirical effectiveness, both through research and practical implementation.

Suggested Citation

  • Morgan Blangeois, 2025. "Personas design in the age of generative AI: towards a hybrid human-machine approach to mitigate cognitive and algorithmic biases [La conception de personas à l'ère de l'IA générative : vers une ap," Post-Print hal-05099808, HAL.
    • Handle: RePEc:hal:journl:hal-05099808
    as

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