Gotcha GPT: Ensuring the Integrity in Academic Writing.

ABSTRACT: This application note explores how to address a challenging problem faced by many academics and publishing professionals in recent years: ensuring the integrity of academic writing in universities and publishing houses due to advances in Artificial Intelligence (AI). It distinguishes AI- and human-generated English manuscripts using classifier models such as decision tree, random forest, extra trees, and AdaBoost. It utilizes Scikit learn libraries to provide statistics (precision, accuracy, recall, F1, MCC, and Cohen's kappa scores) and the confusion matrix to guarantee confidence to the user. The accuracy of the model evaluation for classification ranges from 0.97 to 0.99. There is a text data set of approximately 400 AI-generated texts and around 400 human-generated texts used for train

SUBMITTER: Gralha JG 

PROVIDER: S-EPMC11558662 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature