Describing and Predicting the Acceptability of AI and Robotics towards Professional Identity with the Revised 4-A Model - Université de Lorraine
Conference Papers Year : 2024

Describing and Predicting the Acceptability of AI and Robotics towards Professional Identity with the Revised 4-A Model

Abstract

There have been significant developments in social robotics in the care sector, in particular, in the fields of elder care and in the care and education of children and young people, especially those with specific disabling conditions, such as autism. Because the increasing use of digital technologies, such as artificial intelligence (AI) and robotics system may be harmful to professions and occupations, it is crucial to investigate the relationships between professional identity towards robotics systems to describe and predict the acceptability. In this communication, we present a revised version of the 4-A model (for Acceptability, Acceptation, Approval, Appropriation) to apprehend the relationships between professional identity and acceptability. The origins and the main advantages of this revised theoretical framework are presented and discussed. This communication contributes to efforts to shift the ways in which the future of work and the rise of robotics and AI are understood by proposing a new framework for articulating the resulting disruptions in relation with professional identity.

Domains

Psychology
Fichier principal
Vignette du fichier
Professional_Identity___Robotics___AIVR2024-2.pdf (3.01 Mo) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

hal-04493658 , version 1 (07-03-2024)

Identifiers

  • HAL Id : hal-04493658 , version 1

Cite

Jérôme Dinet, Armand Manukyan, Marie Rychalski, Hirokazu Kumazaki, Naomi Matsuura, et al.. Describing and Predicting the Acceptability of AI and Robotics towards Professional Identity with the Revised 4-A Model. International Conference on Artificial Intelligence and Immersive Virtual Reality, IARIA, Apr 2024, Venise, Italy. ⟨hal-04493658⟩
71 View
28 Download

Share

More