Impact of Human-AI Teaming on Creativity

Raphaël Teixeira ()
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Raphaël Teixeira: CERAG - Centre d'études et de recherches appliquées à la gestion - UGA - Université Grenoble Alpes, UGA - Université Grenoble Alpes, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes

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Abstract: Generative Artificial Intelligence (Gen AI) is reshaping professional practices, opening new paradigms of co-creation (Davis, 2013). Human-AI co-creation can be defined as a setting where humans and AI collaborate to create new forms of art, design, and innovation (Vinchon et al., 2023). This research investigates how Human–AI Collaboration impacts creative work. As Artificial Intelligence integration expands, it reshapes productivity, team structures, and creative dynamics across industries (Makarius, 2020). Human–AI Collaboration (HAIC) focuses on cooperative dynamics, shared goals, and team development (Fragiadakis et al., 2024) to understand how agency is built through hybrid intelligence (Sundar, 2020). Managers still lack appropriate tools to evaluate these emerging hybrid collaborations, which vary across sectors (Sauer & Burggräf, 2024). This research targets creative industries and aims to explore how co-creativity emerges as a new collaborative framework. Within the context of agentic AI, this doctoral project intends to design an interaction protocol based on Large Language Models (LLMs) to engage the team's creativity.

Keywords: Multi Agent System; GenAI; Creativity; Human-AI Collaboration (search for similar items in EconPapers)
Date: 2026-02-02
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Published in TransNumérique, Feb 2026, Rennes, France

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