Law, technology, and algorithmic racism

Abstract

This article aims to analyze the legal challenges associated with the phenomenon of algorithmic racism, considering the intersection between technology, digital discrimination, and fundamental rights. The research adopts an inductive methodology with an exploratory and theoretical character, grounded in an interdisciplinary literature review, including legal doctrine, critical data science studies, and national and international regulatory frameworks such as the LGPD and the GDPR. The study shows that artificial intelligence systems, by relying on biased historical data, can reproduce and amplify racial inequalities, negatively impacting the principle of equality and the dignity of the human person. It concludes that a robust legal framework is necessary, centered on algorithmic transparency, multisectoral accountability, and the implementation of anti-discriminatory algorithmic justice capable of protecting fundamental rights in digital environments.