Assessing AI detectors in identifying AI-generated code: Implications for education

• Main Authors: PAN, Wei Hung, CHOK, Ming Jie, WONG, Jonathan Leong Shan, SHIN, Yung Xin, POON, Yeong Shian, YANG, Zhou, CHONG, Chun Yong, David LO, LIM, Mei Kuan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Software Engineering Education; AI-Generated Code; AI-Generated Code Detection; Artificial Intelligence and Robotics; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/9244; https://ink.library.smu.edu.sg/context/sis_research/article/10244/viewcontent/3639474.3640068.pdf
• Institution: Singapore Management University

Educators are increasingly concerned about the usage of Large Language Models (LLMs) such as ChatGPT in programming education, particularly regarding the potential exploitation of imperfections in Artificial Intelligence Generated Content (AIGC) Detectors for academic misconduct.In this paper, we pr...