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

Управление человеческими ресурсами в эпоху генеративного искусственного интеллекта: перспективы и направления исследований ChatGPT
Vijay Pereira, Soumyadeb Chowdhury, Prasanta Kumar Dey, Pawan Budhwar, Arup Varma, Savvas Papagiannidis, Geoffrey Wood, Shuang Ren, Steven G. Rogelberg, Herman Aguinis, Rosalie L. Tung, Jaap Paauwe, Angelo S. DeNisi, Paul Boselie, Fang Lee Cooke, David Guest, Greg J. Bamber, Jose R. Beltran, Stephanie Decker, Andrew J. Knoblich, Ashish Malik, Charmi Patel, Mark N. K. Saunders
2023-07-01

AI ethicsChatGPTgenerative artificial intelligencehuman resource managementjob displacement
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.
1
Generative AI tools such as ChatGPT may substantially transform employment, stakeholder relationships, business models, and academic research, but their full consequences remain uncertain.
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The abstract identifies unresolved uncertainty over whether generative AI will displace jobs, create jobs, or shift human labor toward producing potentially trivial or irrelevant information and decisions.
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The editorial synthesizes AI and generative AI research with human resource management processes, practices, relationships, and outcomes to develop future HRM research directions.
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The rapid expansion of generative AI applications is accompanied by risks involving worker well-being, bias, misinformation, context insensitivity, privacy, ethical dilemmas, and security.

ChatGPT and its generative AI variants as applied within human resource management

Their implications for HRM processes, practices, relationships, and outcomes, including effects on employment, worker well-being, bias, privacy, ethics, security, and organizational decision-making

Publication Details
Publication Date
2023-07-01
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Authors
Vijay Pereira
Soumyadeb Chowdhury
Prasanta Kumar Dey
Pawan Budhwar
Arup Varma
Savvas Papagiannidis
Geoffrey Wood
Shuang Ren
Steven G. Rogelberg
Herman Aguinis
Rosalie L. Tung
Jaap Paauwe
Angelo S. DeNisi
Paul Boselie
Fang Lee Cooke
David Guest
Greg J. Bamber
Jose R. Beltran
Stephanie Decker
Andrew J. Knoblich
Ashish Malik
Charmi Patel
Mark N. K. Saunders
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