Opaque algorithms and differential privacy: can there be transparency without compromising protection?

Authors

  • Juan Emmanuel Delva Benavides
  • Vania Valeria Mendez Gonzalez

DOI:

https://doi.org/10.21678/forseti.v14i22.2834

Keywords:

Opaque algorithms, Differential privacy, Algorithmic transparency, Data protection

Abstract

This article analyzes the tension between algorithmic transparency and differential privacy in the context of increasing implementation of Artificial Intelligence systems in sensitive areas. Through an interdisciplinary analysis that integrates legal, technological, and ethical perspectives, it examines how opaque algorithms compromise accountability and how differential privacy, while protecting personal data, can undermine algorithmic accuracy.

Author Biographies

  • Juan Emmanuel Delva Benavides

    Profesor Investigador en la Universidad de Guadalajara. Doctor en Derecho, maestro en tecnologías y abogado por parte de la UdeG. Socio fundador de la Asociación Latinoamericana de Derecho, Gobierno y Nuevas Tecnologías.

  • Vania Valeria Mendez Gonzalez

    Estudiante de la carrera de Negocios Internacionales de la Universidad de Guadalajara y técnico en programación por parte del Centro de Bachilleres Industriales y Tecnológicos.

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Published

2025-07-31

Issue

Vol. 14 No. 22 (2025): Forseti N° 22

Section

Artí­culos

License

Copyright (c) 2025 Forseti. Law Review

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Opaque algorithms and differential privacy: can there be transparency without compromising protection?. (2025). Forseti. Law Review, 14(22), 227-245. https://doi.org/10.21678/forseti.v14i22.2834