Detect if an academic monograph was made by an Artificial Intelligence system, using Machine Learning

Autores/as

  • Paul Miller Tocto Inga Universidad Nacional de Ingeniería - (PE), Peru
  • Gloria Teresita Huamaní Huamaní Universidad Nacional de Ingeniería - (PE), Peru

DOI:

https://doi.org/10.18687/LACCEI2024.1.1.1021

Palabras clave:

AI, Tensor Flow, Recurrent Neural Network, Academic work..

Resumen

This research addresses the use of artificial intelligence (AI) in the educational context, specifically in the detection of academic works generated by AI systems in English. Due to the current development of AI, concerns arise about intellectual property and the quality of learning as long as AI systems generate the monographs that students should complete, this project seeks to propose a solution to this problem, for which the steps are detailed. to design and train a recurrent neural network using TensorFlow and the evaluation of the model using classification metrics such as precision, recall and F1-score, the results obtained show that the created model has good performance in the classification of monographic works generated by AI, with high precision, recall and F1-score values. It is concluded that the model is effective in identifying these jobs.

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Publicado

2024-07-27

Número

Sección

Articles

Licencia

Licencia Creative Commons

Esta obra está bajo una Licencia Creative Commons Atribución-NoComercial-CompartirIgual 4.0 Internacional.

LACCEI conserva el copyright de todos los artículos publicados bajo los términos de su acuerdo de transferencia de copyright. Como titular del copyright, LACCEI distribuye los artículos al público bajo la Licencia Internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0 (CC BY-NC-SA 4.0).

Cómo citar

Tocto Inga, P. M., & Huamaní Huamaní, G. T. (2024). Detect if an academic monograph was made by an Artificial Intelligence system, using Machine Learning. LACCEI, 1(10). https://doi.org/10.18687/LACCEI2024.1.1.1021

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