Semantic Scholar Open Access 2019 1021 sitasi

Artificial Intelligence in Human Resources Management: Challenges and a Path Forward

Prasanna B. Tambe P. Cappelli V. Yakubovich

Abstrak

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.

Topik & Kata Kunci

Computer Science

Penulis (3)

Prasanna B. Tambe

P. Cappelli

V. Yakubovich

Format Sitasi

APA MLA BibTeX

Tambe, P.B., Cappelli, P., Yakubovich, V. (2019). Artificial Intelligence in Human Resources Management: Challenges and a Path Forward. https://doi.org/10.1177/0008125619867910

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Informasi Jurnal

Tahun Terbit: 2019
Bahasa: en
Total Sitasi: 1021×
Sumber Database: Semantic Scholar
DOI: 10.1177/0008125619867910
Akses: Open Access ✓