Making the business case for AI in HR: two case studies

doi:10.1108/SHR-12-2018-0101

Paper

Making the business case for AI in HR: two case studies

Published Feb 13, 2019 · B. Altemeyer

Strategic HR Review

UNKNOWN SJR score

13

Citations

2

Influential Citations

Full textSemantic Scholar

Abstract

Purpose This paper aims to analyse two large-scale business case studies for the benefits of using AI, computer science and machine learning to assess, recruit and retain staff. Design/methodology/approach The authors interrogate two large-scale case studies, including metrics on the success of AI in relation to user experience, compatibility, psychometric benchmarking. Findings The authors conclude that AI removes bias from assessment, recruitment and training processes and can save businesses significant time and resources as well as improve the cultural fit and diversity of their recruits. There is a balance to be struck, though, as the systems used are only as good as the science supporting the selection – and humans must ultimately retain the role of decision makers. Originality/value These business case studies are examined in detail for the first time in this paper.

Study Snapshot

AI in HR can remove bias, save time, and resources, while improving cultural fit and diversity, but humans must still remain decision makers.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

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Making the business case for AI in HR: two case studies

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References

Citations

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