Detecting AI Generated Content: A Study of Methods and Applications
摘要
This paper includes an extensive study into the identification of AI-generated content, a vital field of research in the context of maintaining academic integrity and preventing plagiarism. The study categorizes detection approaches into three primary ways: linguistic-based, statistical-based, and learning-based methods. Each method is extensively reviewed regarding its approach, strengths, and potential limits. The paper contains a comparative examination of the three types of detection algorithms, stressing their various use cases and performance measures. The paper also discusses the challenges and scenarios for detecting AI-generated content in various domains and contexts.