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

Boris Altemeyer (Cognisess, Bath, UK)

Strategic HR Review

ISSN: 1475-4398

Article publication date: 13 February 2019

Issue publication date: 16 April 2019

3243

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.

Keywords

Citation

Altemeyer, B. (2019), "Making the business case for AI in HR: two case studies", Strategic HR Review, Vol. 18 No. 2, pp. 66-70. https://doi.org/10.1108/SHR-12-2018-0101

Publisher

:

Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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