Detecting AI Generated Text Based on NLP and Machine Learning Approaches

arXiv:2404.10032v1 Announce Type: new
Abstract: Recent advances in natural language processing (NLP) may enable artificial intelligence (AI) models to generate writing that is identical to human written form in the future. This might have profound ethical, legal, and social repercussions. This study aims to address this problem by offering an accurate AI detector model that can differentiate between electronically produced text and human-written text. Our approach includes machine learning methods such as XGB Classifier, SVM, BERT architecture deep learning models. …

abstract advances ai generated artificial artificial intelligence arxiv cs.cl cs.lg ethical form future generate generated human intelligence language language processing legal machine machine learning natural natural language natural language processing nlp processing repercussions social study text type writing