Natural biases in algorithmic programming: challenges and difficulties for the application of automated systems in law

Authors

  • Gonzalo Renzo Villavicencio Rojas
  • Juan Pavel Valdez-Rondinel

DOI:

https://doi.org/10.21678/forseti.v14i22.2844

Keywords:

Artificial intelligence, Legal bias, Cognitive biases, Legal language, Algorithmic bias, Legal interpretation, Discriminatory automation, Technocratic justice, Legal automation, Jurisprudence and AI

Abstract

This article examines legal artificial intelligence and its clash with biases in legal language. It analyzes automation and data use, showing how they can institutionalize structural discrimination. It warns of the risk that AI becomes a technocratic tool legitimizing injustices under the guise of neutrality.

Author Biographies

Gonzalo Renzo Villavicencio Rojas

Estudiante del 7.° semestre de Derecho en la Universidad Peruana de Ciencias Aplicadas.

Juan Pavel Valdez-Rondinel

Estudiante del 12.° semestre de Derecho en la Universidad Nacional de San Cristóbal de Huamanga. Miembro en Círculo académico Franco-Latinoamericano Lucet Universidad de la Sorbona y del Círculo de Derecho Informático CEDIM Universidad Nacional Mayor de San Marcos. Premio nacional de Mejor Orador del Torneo AYNI Bullard Falla & Ezcurra 2024, articulista en LP así como por la universidad Simon Fraser University.

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Published

2025-07-31 — Updated on 2025-09-18

Versions

How to Cite

Villavicencio Rojas, G. R., & Valdez-Rondinel, J. P. (2025). Natural biases in algorithmic programming: challenges and difficulties for the application of automated systems in law. Forseti. Law Review, 14(22), 413–437. https://doi.org/10.21678/forseti.v14i22.2844 (Original work published July 31, 2025)

Issue

Vol. 14 No. 22 (2025): Forseti N° 22

Section

Artí­culos

License

Copyright (c) 2025 Forseti. Law Review

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