Evaluación de la inteligencia artificial generativa en el contexto de la automáticaun análisis crítico

  1. Barragán, Antonio Javier 1
  2. Aquino, Arturo 1
  3. Enrique, Juan Manuel 1
  4. Segura, Francisca 1
  5. Martínez, Miguel Ángel 1
  6. Andújar, José Manuel 1
  1. 1 Universidad de Huelva
    info

    Universidad de Huelva

    Huelva, España

    ROR https://ror.org/03a1kt624

Journal:
Jornadas de Automática
  1. Cruz Martín, Ana María (coord.)
  2. Arévalo Espejo, V. (coord.)
  3. Fernández Lozano, Juan Jesús (coord.)

ISSN: 3045-4093

Year of publication: 2024

Issue: 45

Type: Article

DOI: 10.17979/JA-CEA.2024.45.10733 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

Abstract

The recent proliferation of artificial intelligences (AIs), particularly generative AIs, is driving a need for transformation inuniversity education. The ability of AIs to generate content, write reports, summaries and solve problems of varying complexity should prompt a review of many traditional assessment methods, or at least a recognition of students’ ability to employ these tools in the execution of their tasks. This paper aims to assess the competencies of the main AIs currently available for carrying out tasks associated with control engineering, both theoretical and practical. The results indicate that current AIs are not yet able to solve control problems effectively, and tend to resort to standard solutions that are not always appropriate; however, they show satisfactory performance with respect to general theoretical knowledge.

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