We are very pleased that the article “Augmenting diversity in hiring decisions with artificial intelligence tools” by Uta Wilkens and Immanuel Lutzeyer (together with Connie Zheng, Dr. Alper Beser and Michael Prilla) in The International Journal of Human Resource Management has been recognized as one of the three most read articles this year and highlighted as an Editors’ Pick.
The study shows that the availability of a reliable AI tool alone is not enough to promote diversity in recruitment decisions. Only accompanying measures such as diversity-sensitive explanations by the AI, recruitment contexts with qualitative objectives (e.g. focus on high potentials instead of volume business) and explicit diversity guidelines in the company lead to diversity-promoting decisions. As a result of the aforementioned framework conditions, decision-makers also reflect more consciously on the information relevant to recruitment.
The results thus provide important impetus for the use of AI tools in personnel selection. They make it clear that it all depends on the interaction between technology, organization and people.
We would like to thank the editors (especially Neil Boyd), the reviewers and everyone involved for their constructive collaboration. Congratulations also to all the other award-winning authors!
You can find the Editors’ Picks here: https://www.researchgate.net/journal/The-International-Journal-of-Human-Resource-Management-1466-4399/editor-pick/692d6c2699ae1379ea3b07a5
Link to the freely available article: https://doi.org/10.1080/09585192.2025.2492867
Complete citation details
Wilkens, U., Lutzeyer, I., Zheng, C., Beser, A., & Prilla, M. (2025). Augmenting Diversity in Hiring Decisions with Artificial Intelligence Tools (Special Issue on Interdisciplinary Narratives on Artificial Intelligence and Personnel Selection Systems). The International Journal of Human Resource Management, 36(14), 2585-2622. https://doi.org/10.1080/09585192.2025.2492867
