La inteligencia artificial en el derecho: desafíos del debido proceso y la equidad en la toma de decisiones algorítmicas.

This work explores the ethical issues of AI in justice and its effect on equity and fair processes. It uses an approach combining qualitative analysis of literature and expertise with a quantitative examination of patterns in AI applied to law. The research investigates the consequences of automation in judicial decisions, focusing on the algorithmic bias and opacity that make certain systems “black boxes”, calling into question the legitimacy of their decisions. This analysis reveals that while AI promises efficiency, it can intensify racial and socioeconomic biases in systems like COMPAS, harming vulnerable groups and eroding public trust. This study aims to explore the tensions between ethics and AI in justice, and establish standards that safeguard fairness and accountability. The findings underscore the urgency of regulations and ethical oversight for complementary use of AI, preserving human judgment in the legal system. Therefore, this study offers a critique on the integration of AI in justice without compromising its integrity. [ABSTRACT FROM AUTHOR]