Detecting AI-generated essays using fine-tuned XLNet-CNN hybrid techniques: a study of the academic integrity challenge

Key Points

• AI-generated essays pose a significant challenge to academic integrity, necessitating robust detection methods.
• The fine-tuned XLNet-CNN hybrid model achieves improved accuracy compared to traditional detection techniques.
• This observational analysis involves comparing various detection methods for effectiveness and reliability.
• Highlighting the need for ongoing development of detection techniques to address emerging AI challenges.