From Coding to Legislation: An Analysis of Bias in the Use of AI for Recruitment and Existing Regulatory Frameworks

Artificial Intelligence

Date: June 2024

Priscilla Campos Díaz

Priscilla Campos Díaz

This project aims to identify the different biases generated by current AI-based recruitment algorithms and to understand the factors that cause them, subsequently evaluating the effectiveness of current regulations in the United States and the European Union. The goal is to propose specific recommendations for Latin American countries that lack a robust legal framework in this area.

This project aims to identify the different biases generated by current AI-based recruitment algorithms and to understand the factors that cause them, subsequently evaluating the effectiveness of current regulations in the United States and the European Union. The goal is to propose specific recommendations for Latin American countries that lack a robust legal framework in this area.