| Abstract |
The purpose of this project is to find out how accurate different AI detectors are when identifying human and AI-written text. In this experiment, several detectors were tested using different types of writing, including human text, AI text, mixed text, and text with mistakes. By comparing their results, this project shows which AI detectors work best and which ones have trouble. This helps students and teachers understand how reliable AI detectors really are and why they may not always be correct. |
