SISTEMAS ALGORÍTMICOS EN PROCESOS DE RECLUTAMIENTO: ¿CÓMO CONSIDERAN LOS ACTORES EL RIESGO DE SESGO? PRESENTACIÓN DE UN ESTUDIO EMPÍRICO AL SERVICIO DE UN ANÁLISIS JURÍDICO
ALGORITHMIC SYSTEMS IN RECRUITMENT PROCESSES: HOW DO ACTORS CONSIDER THE RISK OF BIAS? PRESENTATION OF AN EMPIRICAL STUDY FOR LEGAL ANALYSIS

Summary/Abstract: This contribution presents the ongoing research of the Neutr-IA project, funded by the David-Constant Fund and based at the University of Liège, Belgium. The Neutr-IA project proposes a legal interpretation of discriminatory biases arising from the use of artificial intelligence-based tools in recruitment processes, especially from a gender perspective. The research is based on a qualitative survey that aims to assess whether the risks of bias have been taken into account, whether recruitment services have adapted their behaviour accordingly and whether the relevant legislation has been complied with. By analysing the discourses on the practices of HR departments, legal departments and trade union representatives in the same company, we seek to identify the convergences, divergences and paradoxes that emerge from these discourses. Based on the empirical results, we will analyse whether current legislation and legislation in the process of being drafted could mitigate or even correct the problems posed by these new practices. The aim of this article is not to present the final results, which are not yet available, but to outline the research objectives, describe the content of the survey and provide some initial guidance based on the interviews conducted so far.

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