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

Version 4 2024-03-13, 16:21
Version 3 2023-10-29, 17:39
journal contribution
posted on 2024-03-13, 16:21 authored by Eva Selenko, Sarah Bankins, Mindy Shoss, Joel WarburtonJoel Warburton, Simon Lloyd Restubog

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.

History

School affiliated with

  • Lincoln Business School (Research Outputs)

Publication Title

Current Directions in Psychological Science

Volume

31

Issue

3

Pages/Article Number

272-279

Publisher

American Psychological Society / Wiley Blackwell / Association for Psychological Science

ISSN

0963-7214

eISSN

1467-8721

Date Submitted

2022-06-20

Date Accepted

2022-03-02

Date of First Publication

2022-06-01

Date of Final Publication

2022-06-01

Date Document First Uploaded

2022-06-14

ePrints ID

49840