Centre d’Etudes et de Recherches Appliquées à la Gestion

Thanks to recent advances in artificial intelligence, new automatic methods for decision support are being made available to the public (such as image recognition). In the science of recruitment, automatic solutions have also been developed and are sold by start-ups. However, because of industrial secrecy, these start-ups are evasive about the technicality of the proposed algorithms. The goal of the IABR project, from which this work stems, is to raise awareness about the potential misuse of automatic methods. In this presentation, we focus on the influence of the use of a database biased by classical algorithms on the prediction quality of recruitment algorithms.