Detect if an academic monograph was made by an Artificial Intelligence system, using Machine Learning
DOI:
https://doi.org/10.18687/LACCEI2024.1.1.1021Palabras 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.Descargas
Publicado
2024-07-27
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Articles
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Derechos de autor 2024 LACCEI
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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