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

生成语法 背景(考古学) 利益相关者 奖学金 领域 知识管理 社会学 工程伦理学 政治学 人工智能 公共关系 计算机科学 工程类 法学 古生物学 生物
作者
Pawan Budhwar,Soumyadeb Chowdhury,Geoffrey Wood,Herman Aguinis,Greg J. Bamber,Jose R. Beltran,Paul Boselie,Fang Lee Cooke,Stephanie Decker,Angelo S. DeNisi,Prasanta Kumar Dey,David Guest,Andrew J. Knoblich,Ashish Malik,Jaap Paauwe,Savvas Papagiannidis,Charmi Patel,Vijay Pereira,Shuang Ren,Steven G. Rogelberg
出处
期刊:Human Resource Management Journal [Wiley]
卷期号:33 (3): 606-659 被引量:756
标识
DOI:10.1111/1748-8583.12524
摘要

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.
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