loading page

Detection and Classification of ChatGPT Generated Contents Using Deep Transformer Models
  • +1
  • Mahdi Maktab Dar Oghaz ,
  • Kshipra Dhame ,
  • Gayathri Singaram ,
  • Lakshmi Babu Saheer
Mahdi Maktab Dar Oghaz
Anglia Ruskin University

Corresponding Author:[email protected]

Author Profile
Kshipra Dhame
Author Profile
Gayathri Singaram
Author Profile
Lakshmi Babu Saheer
Author Profile


The scope of this manuscript covers the use of machine learning and deep learning models to detect and classify AI-generated text, with a particular focus on maintaining academic integrity in computer science. It also includes the creation and public release of a dataset comprising human and AI-generated content. The work also compares these models with existing solutions like Turnitin’s AI plagiarism detector, contributing to a robust baseline for identifying AI-generated content in academia.