Artificial Intelligence and the Future of Work: A Functional-Identity Perspective

Selenko, Eva, Bankins, Sarah, Shoss, Mindy , Warburton, Joel and Restubog, Simon Lloyd (2022) Artificial Intelligence and the Future of Work: A Functional-Identity Perspective. Current Directions in Psychological Science, 31 (3). pp. 272-279. ISSN 0963-7214

Full content URL: https://doi.org/10.1177/09637214221091823

Documents
Artificial Intelligence and the Future of Work: A Functional-Identity Perspective
Published Open Access manuscript
[img]
[Download]
[img]
Preview
PDF
09637214221091823.pdf - Whole Document
Available under License Creative Commons Attribution 4.0 International.

192kB
Item Type:Article
Item Status:Live Archive

Abstract

The impact of the implementation of artificial intelligence (AI) on workers’ experiences remains underexamined. Although AI-enhanced processes can benefit workers (e.g., by assisting with exhausting or dangerous tasks), they can also elicit psychological harm (e.g., by causing job loss or degrading work quality). Given AI’s uniqueness among other technologies, resulting from its expanding capabilities and capacity for autonomous learning, we propose a functional-identity framework to examine AI’s effects on people’s work-related self-understandings and the social environment at work. We argue that the conditions for AI to either enhance or threaten workers’ sense of identity derived from their work depends on how the technology is functionally deployed (by complementing tasks, replacing tasks, and/or generating new tasks) and how it affects the social fabric of work. Also, how AI is implemented and the broader social-validation context play a role. We conclude by outlining future research directions and potential application of the proposed framework to organizational practice.

Keywords:artificial intelligence, complementing tasks, generating tasks, identity threat, meaning of work, replacing tasks, technological change
Subjects:C Biological Sciences > C811 Occupational Psychology
G Mathematical and Computer Sciences > G700 Artificial Intelligence
C Biological Sciences > C800 Psychology
Divisions:Lincoln International Business School
ID Code:49840
Deposited On:20 Jun 2022 11:37

Repository Staff Only: item control page