Isabel Olmos Parés

El acceso al empleo a propósito de la propuesta de Reglamento europeo de Inteligencia Artificial

Introduction

El acceso al empleo a propósito de la propuesta de reglamento europeo de inteligencia artificial. Impacto de la IA en el empleo: riesgos de sesgo y discriminación. Análisis del control normativo y la propuesta de Reglamento europeo de IA.

Abstract

El uso de la inteligencia artificial (IA) es ya clave en todo proceso de selección, existiendo un alto grado de automatización en todo o en parte del mismo. Los riesgos de sesgo o discriminación que la IA puede generar en ese ámbito deben ser controlados. El trabajo analiza el control desde la perspectiva de la normativa ya existente sobre protección de datos, así como de la futura Ley de IA, todavía en pleno proceso legislativo, en el seno de la UE.

Review

This article tackles a highly pertinent and critical issue: the increasing integration of Artificial Intelligence (AI) into employment selection processes and the inherent risks of bias and discrimination that accompany such automation. By focusing on how these risks can be controlled, especially in light of the proposed European AI Regulation, the work positions itself at the forefront of contemporary discussions concerning technology, ethics, and fundamental rights in the workplace. The timely analysis of AI's impact on access to employment is crucial, offering valuable insights into a domain where technological advancements often outpace regulatory frameworks. A significant strength of the paper lies in its dual analytical lens, considering both the existing data protection legislation and the impending EU AI Act. This comparative approach provides a comprehensive perspective on the evolving legal landscape designed to mitigate AI-induced biases. Examining the regulatory control from these two distinct yet interconnected angles is particularly effective, offering a robust framework for understanding the responsibilities and obligations of employers and AI developers within the European Union. The emphasis on the legislative process of the AI Act further highlights the forward-looking and proactive nature of this research. The contribution of this work is substantial, providing an essential resource for legal scholars, policymakers, HR professionals, and technology developers grappling with the ethical deployment of AI in recruitment. While the abstract suggests a strong focus on legal analysis, the implications extend to practical application and policy design aimed at fostering equitable access to employment. The analysis of the EU context is especially relevant given the bloc's pioneering efforts in AI regulation, making this article a valuable contribution to the ongoing global dialogue on governing AI for societal good.

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