Assessing AI Detectors in Identifying AI-Generated Code: Implications for Education
Wei Hung Pan, Ming Jie Chok, Jonathan Leong Shan Wong, Y. Shin, Yeong Shian Poon, Zhou Yang, Chun Yong Chong, David Lo, Mei Kuan Lim
Abstract
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.
Topics & Concepts
Computer scienceCode (set theory)DetectorProgramming languageArtificial intelligenceNatural language processingTelecommunicationsSet (abstract data type)Online Learning and AnalyticsEthics and Social Impacts of AIExplainable Artificial Intelligence (XAI)