“Where’s the I-O?” Artificial Intelligence and Machine Learning in Talent Management Systems

Authors

Manuel F. Gonzalez, Baruch College and The Graduate Center, City University of New York; Aon Assessment SolutionsFollow
John F. Capman, Aon Assessment SolutionsFollow
Frederick L. Oswald, Rice UniversityFollow
Evan R. Theys, Aon Assessment SolutionsFollow
David L. Tomczak, The George Washington University; Aon Assessment SolutionsFollow

DOI

https://doi.org/10.25035/pad.2019.03.005

Abstract

Artificial intelligence (AI) and machine learning (ML) have seen widespread adoption by organizations seeking to identify and hire high-quality job applicants. Yet the volume, variety, and velocity of professional involvement among I-O psychologists remains relatively limited when it comes to developing and evaluating AI/ML applications for talent assessment and selection. Furthermore, there is a paucity of empirical research that investigates the reliability, validity, and fairness of AI/ML tools in organizational contexts. To stimulate future involvement and research, we share our review and perspective on the current state of AI/ML in talent assessment as well as its benefits and potential pitfalls; and in addressing the issue of fairness, we present experimental evidence regarding the potential for AI/ML to evoke adverse reactions from job applicants during selection procedures. We close by emphasizing increased collaboration among I-O psychologists, computer scientists, legal scholars, and members of other professional disciplines in developing, implementing, and evaluating AI/ML applications in organizational contexts.

Recommended Citation

Gonzalez, Manuel F.; Capman, John F.; Oswald, Frederick L.; Theys, Evan R.; and Tomczak, David L. (2019) "“Where’s the I-O?” Artificial Intelligence and Machine Learning in Talent Management Systems," Personnel Assessment and Decisions: Number 5 : Iss. 3 , Article 5.
DOI: https://doi.org/10.25035/pad.2019.03.005
Available at: https://scholarworks.bgsu.edu/pad/vol5/iss3/5

Corresponding Author Information

Manuel F. Gonzalez

Manuel.Gonzalez@baruch.cuny.edu

55 Lexington Ave., Box B8-215 New York, NY 10010