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

Morgan Blangeois ()
Additional contact information
Morgan Blangeois: CleRMa - Clermont Recherche Management - ESC Clermont-Ferrand - École Supérieure de Commerce (ESC) - Clermont-Ferrand - UCA - Université Clermont Auvergne

Post-Print from HAL

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.

Keywords: Generative AI; personas; bias; co-creation; reflexivity; IA générative; biais; cocréation; réflexivité (search for similar items in EconPapers)
Date: 2025-06-03
References: Add references at CitEc
Citations:

Published in XXXIVème Conférence de l'AIMS, IAE Lille; Association Internationale de Management Stratégique (AIMS), Jun 2025, Lille, France

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05099808

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().