Generative AI, practical reason, and Law: Can generative language models perform genuine practical reasoning?

Authors

  • Alonso Ramiro Begazo Cáceres Universidad Católica San Pablo (Arequipa, Perú) https://orcid.org/0000-0002-0166-1041

    Abogado por la Universidad Católica San Pablo (Arequipa, Perú). Master en Filosofía por la Universidad Católica San Antonio de Murcia, Máster en Dirección Estratégica de Recursos Humanos en la Universidad CEU San Pablo, España. Profesor de Derecho Natural y Teoría del Derecho de la Universidad Católica San Pablo.
    Correo electrónico: arbegazo@ucsp.edu.pe.

DOI:

https://doi.org/10.18800/iusetveritas.202502.011

Keywords:

Generative Artificial Intelligence, Large Language Models, Practical Reason, Legal Reasoning, Reflexivity, Self-awareness, Self-involvement, Limitations of Artificial Intelligence, Administrative Law, Perú

Abstract

Artificial intelligence models, especially language-generating ones, have burst onto the academic scene with great intensity. These models allow interaction with a system trained to algorithmically construct responses within a dialectical dynamic, allowing us to answer questions not only of a conceptual nature but also of a problem-solving nature for various types of problems.
In this article, from the perspective of practical reasonableness with Aristotelian roots, we will argue why this tool, which presents itself as ????intelligent,???? is incapable of carrying out true practical reasoning processes to guide action due to its lack of rational properties, especially in those areas governing human behavior linked to the legal rights that constitute law.

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Published

2026-03-10

How to Cite

Begazo Cáceres, A. R. (2026). Generative AI, practical reason, and Law: Can generative language models perform genuine practical reasoning?. IUS ET VERITAS, (71), 177–200. https://doi.org/10.18800/iusetveritas.202502.011