Strategic HR Review · 2019 · 27 citations · 0 references
ManagementComputer ScienceHuman Resource ManagementArtificial IntelligenceMachine LearningRecruitmentArtificial Intelligence AdoptionCandidate AssessmentHuman Resource PlanningPredictive Human Resource AnalyticsRecruitment MetricsTalent DevelopmentAi-based RecruitmentAlgorithmic Bias In HiringArtificial Intelligence In RecruitmentArtificial Intelligence In SelectionMachine Learning In HiringSelectionTrainingTraining Processes
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.