Detect if an academic monograph was made by an Artificial Intelligence system, using Machine Learning (#1021)
Read ArticleDate of Conference
July 17-19, 2024
Published In
"Sustainable Engineering for a Diverse, Equitable, and Inclusive Future at the Service of Education, Research, and Industry for a Society 5.0."
Location of Conference
Costa Rica
Authors
Tocto Inga, Paul Miller
Huamaní Huamaní, Gloria Teresita
Abstract
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.