Abstract
There is a substantial gap between the promise and reality of artificial intelligence in human resource (HR) management. This article identifies four challenges in using data science techniques for HR tasks: complexity of HR phenomena, constraints imposed by small data sets, accountability questions associated with fairness and other ethical and legal constraints, and possible adverse employee reactions to management decisions via data-based algorithms. It then proposes practical responses to these challenges based on three overlapping principles—causal reasoning, randomization and experiments, and employee contribution—that would be both economically efficient and socially appropriate for using data science in the management of employees.
Keywords
Human resource managementComputer sciencePath (computing)Human intelligenceAccountabilityHuman resourcesResource allocationKnowledge managementManagement scienceArtificial intelligenceEconomicsManagementPolitical science
Affiliated Institutions
Related Publications
MANAJEMEN SUMBER DAYA MANUSIA
Abstract. Human resources (HR) is one of the most important factors that cannot even be separated from an organization, both institutions and companies. HR is also a key that de...
Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy
Transformative artificially intelligent tools, such as ChatGPT, designed to generate sophisticated text indistinguishable from that produced by a human, are applicable across a ...
Revolutionizing healthcare: the role of artificial intelligence in clinical practice
Introduction Healthcare systems are complex and challenging for all stakeholders, but artificial intelligence (AI) has transformed various fields, including healthcare, with the...
ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope
In recent years, artificial intelligence (AI) and machine learning have been transforming the landscape of scientific research. Out of which, the chatbot technology has experien...
Artificial intelligence in healthcare
Artificial intelligence (AI) is gradually changing medical practice. With recent progress in digitized data acquisition, machine learning and computing infrastructure, AI applic...
Publication Info
- Year
- 2019
- Type
- article
- Volume
- 61
- Issue
- 4
- Pages
- 15-42
- Citations
- 1113
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
1113
OpenAlex
Cite This
Prasanna Tambe,
Peter Cappelli,
Valery Yakubovich
(2019).
Artificial Intelligence in Human Resources Management: Challenges and a Path Forward.
California Management Review
, 61
(4)
, 15-42.
https://doi.org/10.1177/0008125619867910
Identifiers
- DOI
- 10.1177/0008125619867910