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
2023-07-01
SCID: 54.1/rseazz9j
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AI ethicsChatGPTgenerative artificial intelligencehuman resource managementjob displacement
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Abstract (AI)
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.
Key Findings
1
Generative AI tools such as ChatGPT may substantially transform employment, stakeholder relationships, business models, and academic research, but their full consequences remain uncertain.
2
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.
3
The editorial synthesizes AI and generative AI research with human resource management processes, practices, relationships, and outcomes to develop future HRM research directions.
4
The rapid expansion of generative AI applications is accompanied by risks involving worker well-being, bias, misinformation, context insensitivity, privacy, ethical dilemmas, and security.
Research Object
ChatGPT and its generative AI variants as applied within human resource management
Research Subject
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
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2023-07-01
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