AI Agency through an Affordance theory lens: Actualization of affordances by delegation

Ferran Pedrola () and Claudio Vitari ()
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Ferran Pedrola: CERGAM de Toulon - Centre d'Études et de Recherche en Gestion d'Aix-Marseille/Equipe de recherche de Toulon - CERGAM - Centre d'Études et de Recherche en Gestion d'Aix-Marseille - AMU - Aix Marseille Université - UTLN - Université de Toulon - IAE Toulon - Institut d'Administration des Entreprises (IAE) - Toulon - UTLN - Université de Toulon
Claudio Vitari: CERGAM de Toulon - Centre d'Études et de Recherche en Gestion d'Aix-Marseille/Equipe de recherche de Toulon - CERGAM - Centre d'Études et de Recherche en Gestion d'Aix-Marseille - AMU - Aix Marseille Université - UTLN - Université de Toulon - IAE Toulon - Institut d'Administration des Entreprises (IAE) - Toulon - UTLN - Université de Toulon, LEST - Laboratoire d'Economie et de Sociologie du Travail - AMU - Aix Marseille Université - CNRS - Centre National de la Recherche Scientifique

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Abstract: The moment an AI system is implemented within an organization and it starts to operate without human guidance, does it have agency? Answering that question at a moment when AI systems appear to become a reality for practitioners becomes a priority. This paper proposes the use of the socio-material Affordance theory to explore AI Agency, leveraging the concept of Affordance actualization. Through a literature review of 464 journal and conference papers, this research aims to provide a theoretical framework to understand that potential agency of AI systems.

Keywords: Artificial Intelligence Delegation; Affordance Theory; Affordance Actualization; Artificial Intelligence Agency (search for similar items in EconPapers)
Date: 2025-06-16
Note: View the original document on HAL open archive server: https://hal.science/hal-05251786v1
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Published in IAMOT, Jun 2025, Montréal (Québec), Canada

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