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

TY - JOUR

T1 - Human resource management in the age of generative artificial intelligence

T2 - perspectives and research directions on ChatGPT

AU - Budhwar, Pawan

AU - Chowdhury, Soumyadeb

AU - Wood, Geoffrey

AU - Aguinis, Herman

AU - Bamber, Greg J.

AU - Beltran, Jose R.

AU - Boselie, Paul

AU - Cooke, Fang Lee

AU - Decker, Stephanie

AU - DeNisi, Angelo

AU - Dey, Prasanta Kumar

AU - Guest, David

AU - Knoblich, Andrew J.

AU - Malik, Ashish

AU - Paauwe, Jaap

AU - Papagiannidis, Savvas

AU - Patel, Charmi

AU - Pereira, Vijay

AU - Ren, Shuang

AU - Rogelberg, Steven

AU - Saunders, Mark N. K.

AU - Tung, Rosalie L.

AU - Varma, Arup

N1 - © 2023 The Authors.

PY - 2023/7/15

Y1 - 2023/7/15

N2 - 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.

AB - 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.

KW - artificial intelligence

KW - ChatGPT

KW - CSR

KW - ethics

KW - generative AI

KW - HRM

KW - human resource strategy

KW - international human resource management

KW - productivity

KW - sustainability

U2 - 10.1111/1748-8583.12524

DO - 10.1111/1748-8583.12524

M3 - Article

SN - 0954-5395

VL - 33

SP - 606

EP - 659

JO - Human Resource Management Journal

JF - Human Resource Management Journal

IS - 3

ER -