Artificial Intelligence in Human Resources Management: Challenges and a Path Forward
2019/08/01 by Prasanna Tambe, Peter Cappelli, Valery Yakubovich · 58 citations
Social Sciences · Business, Management and Accounting · Decision Sciences · #Ethics and Social Impacts of AI #AI and HR Technologies #Impact of AI and Big Data on Business and Society
paper · doi:10.1177/0008125619867910
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.
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