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

IF 5.4 2区 管理学 Q1 INDUSTRIAL RELATIONS & LABOR
Pawan Budhwar, Soumyadeb Chowdhury, Geoffrey Wood, Herman Aguinis, Greg J. Bamber, Jose R. Beltran, Paul Boselie, Fang Lee Cooke, Stephanie Decker, Angelo DeNisi, Prasanta Kumar Dey, David Guest, Andrew J. Knoblich, Ashish Malik, Jaap Paauwe, Savvas Papagiannidis, Charmi Patel, Vijay Pereira, Shuang Ren, Steven Rogelberg, Mark N. K. Saunders, Rosalie L. Tung, Arup Varma
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引用次数: 21

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.

Abstract Image

生成式人工智能时代的人力资源管理:ChatGPT的视角与研究方向
ChatGPT及其使用生成式人工智能(AI)模型的变体已迅速成为学术和媒体讨论的焦点,讨论它们在经济、民主、社会和环境等各个领域的潜在利弊。目前尚不清楚这些技术是否会导致工作岗位的流失或创造,或者它们是否只是通过产生新的、可能微不足道或实际上无关紧要的信息和决策来转移人类劳动力。ChatGPT的首席执行官表示,这一新的人工智能技术家族的潜在影响可能与“印刷机”一样大,对就业、利益相关者关系、商业模式和学术研究都有重大影响,其全部后果在很大程度上尚未被发现,也不确定。在ChatGPT推出之后,人工智能市场上引入了更先进、更强大的生成式人工智能工具,加剧了“人工智能军备竞赛”,给员工带来了持续的不确定性,扩大了他们的业务应用,同时也增加了与福祉、偏见、错误信息、上下文不敏感、隐私问题、道德困境和安全相关的风险。鉴于这些发展,这篇观点社论提供了一系列观点和研究途径,以扩展生成人工智能领域的人力资源管理奖学金。在此过程中,讨论综合了人工智能和生成式人工智能的文献,将其与人力资源管理过程、实践、关系和结果的各个方面联系起来,从而有助于塑造人力资源管理研究的未来。
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来源期刊
CiteScore
2.80
自引率
10.90%
发文量
56
期刊介绍: Human Resource Management Journal (CABS/AJG 4*) is a globally orientated HRM journal that promotes the understanding of human resource management to academics and practicing managers. We provide an international forum for discussion and debate, and stress the critical importance of people management to wider economic, political and social concerns. Endorsed by the Chartered Institute of Personnel and Development, HRMJ is essential reading for everyone involved in personnel management, training, industrial relations, employment and human resource management.
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