Human resource management in the age of generative artificial intelligence::Perspectives and research directions on ChatGPT

Abstract

ChatGPT and its variants that use generative artificial intelligence (AI) models have rapidly become a focal point in academic and media discussions about their potential benefits and drawbacks across various sectors of the economy, democracy, society, and environment. It remains unclear whether these technologies result in job displacement or creation, or if they merely shift human labour by generating new, potentially trivial or practically irrelevant, information and decisions. According to the CEO of ChatGPT, the potential impact of this new family of AI technology could be as big as “the printing press”, with significant implications for employment, stakeholder relationships, business models, and academic research, and its full consequences are largely undiscovered and uncertain. The introduction of more advanced and potent generative AI tools in the AI market, following the launch of ChatGPT, has ramped up the “AI arms race”, creating continuing uncertainty for workers, expanding their business applications, while heightening risks related to well‐being, bias, misinformation, context insensitivity, privacy issues, ethical dilemmas, and security. Given these developments, this perspectives editorial offers a collection of perspectives and research pathways to extend HRM scholarship in the realm of generative AI. In doing so, the discussion synthesizes the literature on AI and generative AI, connecting it to various aspects of HRM processes, practices, relationships, and outcomes, thereby contributing to shaping the future of HRM research.

Publication DOI: https://doi.org/10.1111/1748-8583.12524
Divisions: College of Business and Social Sciences > Aston Business School > Work & Organisational Psychology
College of Business and Social Sciences > Aston Business School > Aston India Centre for Applied Research
College of Business and Social Sciences > Aston Business School > Aston India Foundation for Applied Research
College of Business and Social Sciences > Aston Business School
College of Business and Social Sciences > Aston Business School > Operations & Information Management
College of Health & Life Sciences
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Aston University (General)
Additional Information: Copyright © 2023 The Authors. Human Resource Management Journal published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
Uncontrolled Keywords: human resource strategy,sustainability,ChatGPT,productivity,CSR,generative AI,international human resource management,ethics,artificial intelligence,HRM
Publication ISSN: 1748-8583
Last Modified: 23 May 2024 07:26
Date Deposited: 13 Jul 2023 08:00
Full Text Link:
Related URLs: https://onlinel ... 1748-8583.12524 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Review article
Published Date: 2023-07
Published Online Date: 2023-07-10
Accepted Date: 2023-06-09
Submitted Date: 2023-06-05
Authors: Budhwar, Pawan (ORCID Profile 0000-0001-8915-6172)
Chowdhury, Soumyadeb
Wood, Geoffrey
Aguinis, Herman
Bamber, Greg J.
Beltran, Jose R.
Boselie, Paul
Lee Cooke, Fang
Decker, Stephanie (ORCID Profile 0000-0003-0547-9594)
DeNisi, Angelo
Dey, Prasanta Kumar (ORCID Profile 0000-0002-9984-5374)
Guest, David
Knoblich, Andrew J.
Malik, Ashish
Paauwe, Jaap
Papagiannidis, Savvas
Patel, Charmi
Pereira, Vijay
Ren, Shuang
Rogelberg, Steven
Saunders, Mark N. K.
Tung, Rosalie L.
Varma, Arup

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