The COVID-19 crisis has accelerated the development of employee selection tools that make use of AI. Since AI can handle large amounts of data and complex predictions, it promises high efficiency, predictive value, and objectivity in screening candidates. However, there are also severe risks involved when using AI for employee selection: if not carefully developed and tested, AI can amplify hiring discrimination against marginalized groups. In this presentation, I will provide an overview of the research on AI-based selection tools we have conducted so far, in which we incorporate insights from organizational psychology into the development of a wide range of algorithms. Furthermore, I will discuss why such an interdisciplinary approach is needed to create AI that can predict job performance and reduce the risk of hiring discrimination.
This will be a hybrid seminar. If you are interested in joining this seminar, please send an email to the secretariat of Amsterdam Business School at firstname.lastname@example.org.