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

Corresponding Author:[email protected]

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Kshipra Dhame
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Gayathri Singaram
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Lakshmi Babu Saheer
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Abstract

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.